{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Линейная регрессия"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Общее уравнение линейной регрессии и постановка задачи:\n",
    "\n",
    "Пусть имеется выборка из $n$ объектов, каждый из которых описан с помощью $m$ переменных: \n",
    "\n",
    "$$\n",
    "\\mathbf{x}_{i} = (x_{i}^{1}, \\ldots, x_{i}^{m}) \\in \\mathbb{R}^{m}, \\quad i = \\overline{1, n}.\n",
    "$$\n",
    "\n",
    "Каждому объекту соответствует некоторый ответ $y_{i} \\in \\mathbb{R}$, $i = \\overline{1, n}$.\n",
    "\n",
    "\n",
    "Задача поиска зависимости между значением переменной $y_{i}$ и признаками $x_{i}^{1}, \\ldots, x_{i}^{m}$ в виде линейной функции от признаков с некоторыми весами $w_{j}$ называется *задачей линейной регрессии*. Переменная $y_{i}$ называется *зависимой* переменной (*целевая* переменная, *таргет*), а переменные $\\mathbf{x}^{1}, \\ldots, \\mathbf{x}^{m}$ - *независимыми* переменными (*признаками*, *предикторами*, *факторами*). \n",
    "\n",
    "\n",
    "В общем виде уравнение линейной регрессии выглядит так:\n",
    "$$\n",
    "a(\\mathbf{x}_{i}) = w_{0} + \\sum\\limits_{j = 1}^{m}w_{j}x_{i}^{j} = w_{0} + \\Big(\\mathbf{w}, \\mathbf{x}_{i}\\Big), \\quad i = \\overline{1, n},\n",
    "$$\n",
    "где $w_{0}$ - свободный коэффициент (сдвиг). \n",
    "\n",
    "Если добавить еще один признак, равный $1$ на всех объектах, то получим более компактную запись уравнения линейной регрессии:\n",
    "$$\n",
    "a(\\mathbf{x}_{i}) = \\Big(\\mathbf{w}, \\mathbf{x}_{i}\\Big), \\quad i = \\overline{1, n}.\n",
    "$$\n",
    "\n",
    "*Замечание:* для удобства оставили прежние названия: $\\mathbf{x}_{i}$ и $\\mathbf{w}$.\n",
    "\n",
    "Решить задачу линейной регрессии - значит найти коэффициенты $w_{j}, j = \\overline{1, m}$, а также свободный член $w_{0}$, которые доставляют минимум функционалу ошибки $Q(a, \\mathbf{X})$:\n",
    "\n",
    "$$\n",
    "Q(a, \\mathbf{X}) \\to \\min_{a},\n",
    "$$\n",
    "где $\\mathbf{X}$ - матрица, строками которой является векторы $\\mathbf{x}_{i}$.\n",
    "\n",
    "Заметим, что в случае линейной модели данный функционал можно переписать в виде функции $Q(\\mathbf{w}, \\mathbf{X})$. Тогда задача оптимизации сводится к следующей:\n",
    "\n",
    "$$\n",
    "Q(\\mathbf{w}, \\mathbf{X}) \\to \\min_{\\mathbf{w}}\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. Виды функций потерь и функционала ошибки:\n",
    "\n",
    "1. **Квадратичная функция потерь** \n",
    "$$\n",
    "L\\Big(y_{i}, a(\\mathbf{x}_{i})\\Big) = \\Big(y_{i} - a(\\mathbf{x}_{i})\\Big)^{2}\n",
    "$$\n",
    "\n",
    "В этом случае, в качестве функционала ошибки используют *среднеквадратическую ошибку* [(*Mean Squared Error*)](https://en.wikipedia.org/wiki/Mean_squared_error) или *корень из среднеквадратической ошибки* [(*Root Mean Squared Error*)](https://en.wikipedia.org/wiki/Root-mean-square_deviation):\n",
    "\n",
    "$$\n",
    "Q(a, \\mathbf{X}) = MSE(a, \\mathbf{X}) = \\frac{1}{n}\\sum\\limits_{i = 1}^{n}\\Big(y_{i} - a(\\mathbf{x}_{i})\\Big)^{2},\n",
    "$$\n",
    "\n",
    "$$\n",
    "Q(a, \\mathbf{X}) = RMSE(a, \\mathbf{X}) = \\sqrt{\\frac{1}{n}\\sum\\limits_{i = 1}^{n}\\Big(y_{i} - a(\\mathbf{x}_{i})\\Big)^{2}}.\n",
    "$$\n",
    "\n",
    "В случае, если $a$ - константный алгоритм имеем\n",
    "\n",
    "$$\n",
    "Q = \\frac{1}{n}\\sum\\limits_{i = 1}^{n}\\Big(y_{i} - a\\Big)^{2} \\Rightarrow Q_{a}^{'} = -\\frac{2}{n}\\sum\\limits_{i = 1}^{n}\\Big(y_{i} - a\\Big).\n",
    "$$\n",
    "\n",
    "Тогда решая уравнение $Q_{a}^{'} = 0$ получим, что $\\sum\\limits_{i = 1}^{n}\\Big(y_{i} - a\\Big) = 0$.\n",
    "\n",
    "Следовательно, в случае квадратичной функции потерь и константного алгоритма, оптимальным является\n",
    "\n",
    "$$\n",
    "a^{*} = mean(\\mathbf{y}) = \\frac{1}{n}\\sum\\limits_{i = 1}^{n}y_{i}.\n",
    "$$\n",
    "\n",
    "*Достоинства*:\n",
    "   - дифференцируема (удобно применять оптимизационные методы);\n",
    "   - выпукла (отсутствуют локальные экстремумы).\n",
    "     \n",
    "*Недостатки*:\n",
    "   - неустойчива к выбросам (поскольку ошибка на каждом объекте возводится в квадрат, то слагаемое соответствующее выбросу будет давать большой вклад в сумму. Пытаясь минимизировать функционал ошибки, алгоритм будет подгоняться под выбросы);\n",
    "   - зачастую по полученному значению функционала сложно оценить качество модели.\n",
    "     \n",
    "Для устранения последнего недостатка, часто используют *коэффициент детерминации* [($R^{2}$)](https://en.wikipedia.org/wiki/Coefficient_of_determination), который описывает долю дисперсии, объясненную рассматриваемой моделью:\n",
    "\n",
    "$$\n",
    "Q(a, \\mathbf{X}) = R^{2}(a, \\mathbf{X}) = 1 - \\frac{\\sum\\limits_{i = 1}^{n}\\Big(y_{i} - a(\\mathbf{x}_{i})\\Big)^{2}}{\\sum\\limits_{i = 1}^{n}\\Big(y_{i} - \\bar{y}\\Big)^{2}}\n",
    "$$\n",
    "\n",
    "\n",
    "2. **Абсолютная функция потерь**\n",
    "$$\n",
    "L\\Big(y_{i}, a(\\mathbf{x}_{i})\\Big) = \\Big|y_{i} - a(\\mathbf{x}_{i})\\Big|\n",
    "$$\n",
    "\n",
    "В этом случае, в качестве функционала ошибки используют *среднюю абсолютную ошибку* [(*Mean Absolute Error*)](https://en.wikipedia.org/wiki/Mean_absolute_error):\n",
    "\n",
    "$$\n",
    "Q(a, \\mathbf{X}) = MAE(a, \\mathbf{X}) = \\frac{1}{n}\\sum\\limits_{i = 1}^{n}\\Big|y_{i} - a(\\mathbf{x}_{i})\\Big|.\n",
    "$$\n",
    "\n",
    "В случае, если $a$ - константный алгоритм имеем\n",
    "\n",
    "$$\n",
    "Q = \\frac{1}{n}\\sum\\limits_{i = 1}^{n}\\Big|y_{i} - a\\Big| \\Rightarrow Q_{a}^{'} = \\frac{1}{n}\\sum\\limits_{i = 1}^{n}\\frac{a - y_{i}}{\\Big|y_{i} - a\\Big|}. \n",
    "$$\n",
    "\n",
    "Тогда решая уравнение $Q_{a}^{'} = 0$ получим, что $\\sum\\limits_{i = 1}^{n}\\frac{a - y_{i}}{\\Big|y_{i} - a\\Big|} = 0$. Очевидно, что каждое из слагаемых в этой сумме равно $\\pm 1$. Поэтому, в случае абсолютной функции потерь и константного алгоритма, оптимальным является \n",
    "\n",
    "$$\n",
    "a^{*} = median(\\mathbf{y}).\n",
    "$$\n",
    "\n",
    "*Достоинства*:\n",
    "   - является более робастной чем MSE (поскольку штраф за выборосы не такой большой).\n",
    "     \n",
    "*Недостатки*:\n",
    "   - не является дифференцируемой.\n",
    "   \n",
    "3. **Функция Хьюбера (Huber Loss)**\n",
    "\n",
    "$$\n",
    "L\\Big(y_{i}, a(\\mathbf{x}_{i})\\Big) = h_{\\delta} = \\begin{cases}\n",
    "\\frac{1}{2}\\Big(y_{i} - a(\\mathbf{x}_{i})\\Big)^{2}, & \\text{если } \\Big|y_{i} - a(\\mathbf{x}_{i})\\Big| \\le \\delta\\\\\n",
    "\\delta\\Big|y_{i} - a(\\mathbf{x}_{i})\\Big| - \\frac{1}{2}\\delta^{2}, & \\text{иначе}.\n",
    "\\end{cases}\n",
    "$$\n",
    "\n",
    "В окрестности нуля график функции [Хьюбера](https://en.wikipedia.org/wiki/Huber_loss) является параболой, при удалении от нуля на величину, превышающую $\\delta$, график становится линейным. Таким образом, данная функция сочетает в себе достоинства и MSE (является дифференцируемой), и MAE (устойчива к выбросам).  \n",
    "\n",
    "   \n",
    "Вышеописанные функционалы ошибки являются **симметричными**, то есть они одинаково штрафует как за недопрогноз, так и за перепрогноз. Существуют также и **несимметричные** функционалы ошибки. Эти функционалы необходимо применять в тех случаях, когда цена ошибки перепрогноза сильно отличается от цены ошибки недопрогноза. Например, в случаях когда мы предсказываем спрос на тот или иной товар. Если завысим прогноз, то придется держать его на складе (дополнительные расходы) либо продавать по заниженным ценам в случае, если он скоропортящийся, чтобы хоть как - то отбить свои потери. Если же мы ошибемся с прогнозом в меньшую сторону, то рискуем потерять лояльность части клиентов, что отразится на наших будущих доходах. Примером несимметричной функции потерь является **квантильная** ошибка.\n",
    "\n",
    "4. **Квантильная функция потерь**\n",
    "$$\n",
    "L\\Big(y_{i}, a(\\mathbf{x}_{i})\\Big) = \\Bigg((\\tau - 1)\\Big[y_{i} < a(\\mathbf{x}_{i})\\Big] + \\tau\\Big[y_{i} \\ge a(\\mathbf{x}_{i})\\Big]\\Bigg)\\Big(y_{i} - a(\\mathbf{x}_{i})\\Big)\n",
    "$$\n",
    "\n",
    "В этом случае, в качестве функционала ошибки используют *ошибку квантильной регрессии* [(*Quantile regression*)](https://en.wikipedia.org/wiki/Quantile_regression):\n",
    "\n",
    "$$\n",
    "Q(a, \\mathbf{X}) = \\frac{1}{n}\\sum\\limits_{i = 1}^{n}\\Bigg((\\tau - 1)\\Big[y_{i} < a(\\mathbf{x}_{i})\\Big] + \\tau\\Big[y_{i} \\ge a(\\mathbf{x}_{i})\\Big]\\Bigg)\\Big(y_{i} - a(\\mathbf{x}_{i})\\Big).\n",
    "$$\n",
    "\n",
    "В случае, если $a$ - константный алгоритм, получим, что оптимальным будет\n",
    "\n",
    "$$\n",
    "a^{*} = quantile(\\mathbf{y}, \\tau).\n",
    "$$\n",
    "\n",
    "*Достоинства*:\n",
    "   - позволяет выставить разный вес ошибкам перепрогноза и недопрогноза.\n",
    "     \n",
    "*Недостатки*:\n",
    "   - не является дифференцируемой.  \n",
    "   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "err = np.linspace(-2, 2, 100)\n",
    "\n",
    "plt.figure(figsize = (14, 8))\n",
    "\n",
    "plt.plot(err, err**2, 'b')\n",
    "plt.plot(err, np.abs(err), 'r')\n",
    "plt.plot(err, list(map(lambda x: 0.5 * x**2 if abs(x) <= 1 else abs(x) - 0.5, err)), 'g--')\n",
    "plt.plot(err, list(map(lambda x: 0.5 * x**2 if abs(x) <= 4 else 4 * abs(x) - 8, err)), 'k--')\n",
    "plt.plot(err, list(map(lambda x: -0.75 * x if x < 0 else 0.25 * x, err)), 'g.')\n",
    "plt.plot(err, list(map(lambda x: -0.9 * x if x < 0 else 0.1 * x, err)), 'k.')\n",
    "\n",
    "plt.legend(['Squared Error', 'Absolute Error', 'Huber(1) Loss', 'Huber(4) Loss',\n",
    "            'Quantille Loss (0.25)', 'Quantille Loss (0.1)'], loc = 'upper right')\n",
    "plt.xlabel('Error')\n",
    "plt.ylabel('Loss Function')\n",
    "plt.title('Графическая иллюстрация функций потерь')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " MSE = 210.71428571428572\n",
      " RMSE = 14.516001023501126\n",
      " R2 = 0.9624545454545455\n",
      " MAE = 13.571428571428571\n",
      " HuberError(1) = 13.071428571428571\n",
      " HuberError(4) = 46.285714285714285\n",
      " QuantileError(0.25) = 46.285714285714285\n",
      " QuantileError(0.5) = 6.785714285714286\n",
      " QuantileError(0.75) = 8.035714285714286\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score\n",
    "\n",
    "def huber_error(y_fact, y_pred, delta):\n",
    "    err = y_fact - y_pred\n",
    "    return np.array(list(map(lambda x: 0.5 * x**2 if abs(x) <= 1 else delta * abs(x) - 0.5 * delta**2, err))).sum() / len(y_fact)\n",
    "\n",
    "def quantile_error(y_fact, y_pred, tau):\n",
    "    err = y_fact - y_pred\n",
    "    return np.array(list(map(lambda x: (tau - 1) * x if x < 0 else tau * x, err))).sum() / len(y_fact)\n",
    "\n",
    "y_fact = np.array([100, 150, 100, 200, 100, 250, 300])\n",
    "y_pred = np.array([80, 145, 90, 210, 85, 270, 285])\n",
    "\n",
    "\n",
    "\n",
    "print(\" MSE = {s[0]}\\n RMSE = {s[1]}\\n R2 = {s[2]}\\n MAE = {s[3]}\\n HuberError(1) = {s[4]}\\n HuberError(4) = {s[5]}\\\n",
    "\\n QuantileError(0.25) = {s[5]}\\n QuantileError(0.5) = {s[7]}\\n QuantileError(0.75) = {s[8]}\"\\\n",
    "      .format(s = [mean_squared_error(y_fact, y_pred),\n",
    "                   np.sqrt(mean_squared_error(y_fact, y_pred)),\n",
    "                   r2_score(y_fact, y_pred),\n",
    "                   mean_absolute_error(y_fact, y_pred),\n",
    "                   huber_error(y_fact, y_pred, 1),\n",
    "                   huber_error(y_fact, y_pred, 4),\n",
    "                   quantile_error(y_fact, y_pred, 0.25),\n",
    "                   quantile_error(y_fact, y_pred, 0.5),\n",
    "                   quantile_error(y_fact, y_pred, 0.75)]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([100, 150, 100, 200, 100, 250, 300])"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_fact"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (14, 8))\n",
    "plt.scatter(np.array([1,2,3,4,5,6,7]),y_fact)\n",
    "plt.scatter(np.array([1,2,3,4,5,6,7]),y_pred)\n",
    "plt.legend(['fact','predict'])\n",
    "plt.xlabel('Dependence factor')\n",
    "plt.ylabel('Predicted and real values')\n",
    "#plt.title('Графическая иллюстрация')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. Существование аналитического решения задачи регрессии:\n",
    "\n",
    "Если функция потерь – среднеквадратичное отклонение, то задача ее минимизации может быть записана так: \n",
    "\n",
    "$$\n",
    "Q(\\mathbf{w}, \\mathbf{X}) = \\frac{1}{n}\\sum\\limits_{i = 1}^{n}\\Big((\\mathbf{w}, \\mathbf{x}_{i}) - y_{i}\\Big)^{2} \\to \\min_{\\mathbf{w}}.\n",
    "$$\n",
    "\n",
    "Метод минимизации среднеквадратической ошибки называется *методом наименьших квадратов [(МНК)](https://en.wikipedia.org/wiki/Least_squares)*.\n",
    "\n",
    "Обозначив за $\\mathbf{y}$ - вектор ответов $y_{i}$ на объектах $\\mathbf{x}_{i}$ и используя ранее введенные обозначения, можем переписать эту задачу в матричной форме:\n",
    "\n",
    "$$\n",
    "Q(\\mathbf{w}, \\mathbf{X}) = \\frac{1}{n}\\Big|\\Big|\\mathbf{Xw} - \\mathbf{y}\\Big|\\Big|_{L_{2}}^{2} \\to \\min_{\\mathbf{w}}.\n",
    "$$\n",
    "\n",
    "Вообще у этой задачи есть точное решение вида:\n",
    "\n",
    "$$\n",
    "\\mathbf{w}^{*} = \\Big(\\mathbf{X}^{\\top}\\mathbf{X}\\Big)^{-1}\\mathbf{X}^{\\top}\\mathbf{y}.\n",
    "$$\n",
    "\n",
    "Однако, аналитическое решение применяется редко. И вот почему:\n",
    "- Для вычисления обратной матрицы необходимо выполнить ~ $m^{3}$ операций (где $m$ - это количество признаков), что является вычислительно сложной задачей при большом количестве признаков;\n",
    "- Матрица $\\Big(\\mathbf{X}^{\\top}\\mathbf{X}\\Big)^{-1}$ может быть плохо обусловленной, что может затруднить расчет обратной матрицы или привести к неустойчивым результатам."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4. Итерационный метод решения: градиентный спуск\n",
    "\n",
    "Как правило, для отыскания неизвестных коэффициентов $w_{i}, i = \\overline{0, n}$ используеьтся метод градиентного спуска.\n",
    "\n",
    "**Определение.** *Градиентом* функции $f(\\mathbf{x}): \\mathbb{R}^{n} \\to \\mathbb{R}$ называется $n$-мерный вектор, состоящий из частных производных функции $f$:\n",
    "\n",
    "$$\n",
    "grad f = \\nabla f = \\Big(\\frac{\\partial f}{\\partial x_{1}}, \\ldots, \\frac{\\partial f}{\\partial x_{n}}\\Big).\n",
    "$$\n",
    "\n",
    "Вектор градиента обладает замечательным свойством: **он определяет направление наискорейшего роста функции**. \n",
    "<details>\n",
    "  <summary> Доказательство </summary>\n",
    "  \n",
    "Докажем это:\n",
    "\n",
    "Если функция $f(x_{1}, \\ldots, x_{n})$ дифференцируема в точке $(x_{1}^{0}, \\ldots, x_{n}^{0})$, то в некоторой окрестности этой точки справедлива следующая аппроксимация:\n",
    "\n",
    "$$\n",
    "f(x_{1}^{0} + \\Delta x_{1}, \\ldots, x_{n}^{0} + \\Delta x_{n}) - f(x_{1}^{0}, \\ldots, x_{n}^{0}) = \\Delta f \\approx f_{x_{1}}^{'}(x_{1}^{0}, \\ldots, x_{n}^{0})\\Delta x_{1} + \\ldots + \\\\ + f_{x_{n}}^{'}(x_{1}^{0}, \\ldots, x_{n}^{0})\\Delta x_{n} = \\Bigg(\\nabla f(x_{1}^{0}, \\ldots, x_{n}^{0}),\n",
    "\\begin{bmatrix}\n",
    "    \\Delta x_{1}\\\\\n",
    "    \\vdots \\\\\n",
    "    \\Delta x_{n}\n",
    "\\end{bmatrix}\n",
    "\\Bigg)\n",
    "$$\n",
    "\n",
    "Рассмотрим вектор $\\mathbf{v} \\in \\mathbb{R}^{n}: ||\\mathbf{v}|| = 1$. Тогда приближение для $\\Delta f$ можно записать в следующем виде:\n",
    "\n",
    "$$\n",
    "\\Delta f \\approx t\\Big(\\nabla f(x_{1}^{0}, \\ldots, x_{n}^{0}), \\mathbf{v}\\Big)\n",
    "$$\n",
    "\n",
    "Далее, используя определение производной по направлению\n",
    "\n",
    "$$\n",
    "\\frac{\\partial f}{\\partial \\mathbf{v}}(x_{1}^{0}, \\ldots, x_{n}^{0}) = \\lim_{t \\to 0}\\frac{f(x_{1}^{0} + t\\mathbf{v}, \\ldots, x_{n}^{0} + t\\mathbf{v}) - f(x_{1}^{0}, \\ldots, x_{n}^{0})}{t},\n",
    "$$\n",
    "\n",
    "получим, что\n",
    "\n",
    "$$\n",
    "\\frac{\\partial f}{\\partial \\mathbf{v}}(x_{1}^{0}, \\ldots, x_{n}^{0}) = \\lim_{t \\to 0}\\frac{\\Delta f}{t} \\approx \\Big(\\nabla f(x_{1}^{0}, \\ldots, x_{n}^{0}), \\mathbf{v}\\Big). \n",
    "$$\n",
    "\n",
    "Отсюда мы видим, что значение производной по направлению будет максимально, если вектор градиента сонаправлен с направлением вектора $\\mathbf{v}$. Что и требовалось доказать. \n",
    "</details>\n",
    "\n",
    "\n",
    "**Следствие.** В свою очередь, вектор *антиградиента* ($-\\nabla f$) определяет направление наискорейшего убывания функции. \n",
    "\n",
    "При решении задачи линейной регрессии, используется, так называемый метод [*градиентного спуска*](https://en.wikipedia.org/wiki/Gradient_descent). В самом общем виде, его можно описать так:\n",
    "\n",
    "1. Инициализация начального значения вектора весов $\\mathbf{w_{0}}$ (например, $\\mathbf{w_{0}} = 0$ или определить элементы вектора $\\mathbf{w_{0}}$ случайным образом);\n",
    "2. Рассчитать значение градиента функции $Q(\\mathbf{w}, \\mathbf{X})$ в точке $\\mathbf{w_{t - 1}}$, рассчитанной на предыдущей итерации;\n",
    "3. Перерасчитать значение вектора $\\mathbf{w_{t}}$ по следующей формуле:\n",
    "\n",
    "$$\n",
    "\\mathbf{w_{t}} = \\mathbf{w_{t - 1}} - \\eta_{t}\\nabla Q(\\mathbf{w}_{t - 1}, \\mathbf{X})\n",
    "$$\n",
    "\n",
    "4. Оценить разницу двух последних приближений:\n",
    "\n",
    "$$\n",
    "\\Big|\\Big|\\mathbf{w_{t}} - \\mathbf{w_{t - 1}}\\Big|\\Big|_{L_{2}} \\le \\varepsilon\n",
    "$$\n",
    "\n",
    "и в случае, если она превышает некоторое заранее заданное значение $\\varepsilon$, перейти к шагу $2$, в противном случае, завершить процесс.\n",
    "\n",
    "Величина $\\eta_{t}$ является шагом метода градиентного спуска. В случае, если шаг маленький, скорость сходимости будет также маленькой. При большом шаге, есть риск \"перепрыгнуть\" через точку минимума. Длину шага можно брать константной, можно уменьшать по мере увеличения номера итерации. \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Пример\n",
    "\n",
    "Рассмотрим как зависит сходимость метода от величины шага на следующем простом примере:\n",
    "\n",
    "$$\n",
    "f = x^{2}.\n",
    "$$\n",
    "\n",
    "В этом случае,\n",
    "\n",
    "$$\n",
    "\\frac{\\partial f}{\\partial x} = 2x.\n",
    "$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "etaList = [0.00001, 0.001, 0.2, 0.9, 0.99, 1.0]\n",
    "countIterList = []\n",
    "xPointList = []\n",
    "\n",
    "for eta in etaList:\n",
    "    x_prev = 5\n",
    "    x_cur = 3.5   \n",
    "    xCurList = [x_cur]\n",
    "    count_iter = 0\n",
    "    \n",
    "    # шаги метода\n",
    "    while (abs(x_cur - x_prev) >= 1e-5) and count_iter <= 1e5:\n",
    "        x_prev = x_cur\n",
    "        x_cur = x_prev - eta * 2 * x_prev\n",
    "        count_iter += 1\n",
    "        xCurList.append(x_cur)\n",
    "        \n",
    "    countIterList.append(count_iter)\n",
    "    xPointList.append(np.array(xCurList))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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8qOk4gNuaPSpBFou0Iq1ImUWVpuMAAACgnVTVNeijzc4B5u42A5Gix3dobnH11c48FZTXGk4DAACA9uBwOI72peWUB3BGEroFaHKf7pKYhwgAAOBJFmw9rIraBiVHBGhczwjTcU4JRY/v0D8mRMMSw9Rgd+iDjQdNxwEAAEA72JhVon35FfLzturSYbTjAc5U886/d9cfVEOj3XAaAAAAtIfmGYizRyXKanWPAebNKHp8jzlNpz3eWZf9vb15AQAA4PqaT3lcNDhOIX7ehtMA7u+8AdGKCPRRfnmtFu3ONx0HAAAAZ2hvXrk2ZB5xznAbmWA6zimj6PE9Lh4Sp0Afm/YXVmpNRrHpOAAAADgD5TX1mr/1sKSjm1sAnBkfL6uubHoYZh4iAACA+2te053bP0pRIX6G05w6ih7fI9DXSzOb2h6wgAcAAHBvH2/JUXV9o3pHBWlkcjfTcQCPMbupxdU3e/J1uLTacBoAAACcrtqGxpZRD9e46UYxih4n4ZrRzgGXn247rNKqesNpAAAAcLreXuvcxHLN6ERZLO7VlxZwZb26B2lMj3DZHc7ZHgAAAHBPX+zI05GqesWE+OmsvlGm45wWih4nYUhCqPrHBKu2wa4PNx8yHQcAAACnYfuhUm07VCpvm0WXDY83HQfwOM0Dzd9Zly27nXmIAAAA7uiddc4ZiLNHJcjmZgPMm1H0OAkWi0VzxjhPe7y1NouB5gAAAG6ouVXptEExigjyNZwG8DwXDo5VsJ+XDpVUa3laoek4AAAAOEWZRZVakVYki0W6apR7traSKHqctFnD4uXrZdXu3HJtyi4xHQcAAACnoKquQR9ucp7YndPUuhRA+/LztunyplNUb63NMpwGAAAAp+rtpo1ik/t0V2J4gOE0p4+ix0kKDfDWxUOcA83fWsMCHgAAwJ3M33JY5bUNSo4I0IReEabjAB5rzlhnUfGrnXnKL68xnAYAAAAnq67BrnfXO4se145x741iFD1OwbVjnUd6Ptmao9JqBpoDAAC4izeadp1fMzpJVjftSwu4g/4xIRqRFKYGu4OB5gAAAG7kq515KqyoU/dgX507wD0HmDej6HEKRiR1U7/oYNXU21vaIwAAAMC17cgp1ZbsEnnbLLpqVILpOIDHu3ZssiRniysGmgMAALiH5vakV49KlLfNvcsG7p2+k1ksFl07loHmAAAA7qR58T5tUIwiGWAOdLiLh8QqxM9LB49UaxkDzQEAAFzegcJKLU8rlMUiXT3afQeYN6PocYpmDY+Xn7dzoPnGrBLTcQAAAPAdKmsb9OGmHEnu35cWcBd+3jZdPsJ5qurNNZmG0wAAAOD7vLXOuVFsipsPMG9G0eMUhfofHWj+JgPNAQAAXNr8rTmqqG1QSkSAxvdkgDnQWZpPyC/cla/8MgaaAwAAuKq6Brvea5rF1ryGc3cUPU5D83/8+VtzVFrFQHMAAABX1bxJZc4YBpgDnalvdLBGJXdTo92h/63PNh0HAAAA3+LLnbkqqqxTVLCvzu3v3gPMm1H0OA3DE8PUPyZYtQ12zdt00HQcAAAAtGH7oVJtOVgqb5tFV4xkgDnQ2eaMaZ6HmK1GBpoDAAC4pOaNYlePTpSXmw8wb+YZ30UnO3ag+ZsMNAcAAHBJzQPMpzPAHDDioiGxCvX31qGSai3bV2A6DgAAAI6TUViplelFHjPAvBlFj9PUPNB8b16FNmQeMR0HAAAAx6isbdBHm5sGmHtIX1rA3TgHmsdLYh4iAACAK3q7aaPY1L7dldDN/QeYN6PocZpC/Lx1SfNA87Us4AEAAFzJJ1ucA8x7RAYywBww6NqmFldf785XHgPNAQAAXEZtQ6Pe3eAc3dDcltRTUPQ4A827BhdsPcxAcwAAABfSvCllzphEWSwMMAdM6RMdrNEpTQPN1zHQHAAAwFV8uSNPxZV1ignx0zkeMsC8GUWPMzAsMUwDYkNU22DX+xsZaA4AAOAKth8q1daDpfKxWXXlSM/pSwu4q+bNYm+vY6A5AACAq2huPzrbgwaYN/Os76aTWSwWXTvG+SD9FgPNAQAAXELzKY/pqTEKD/QxnAbABalHB5ovZaA5AACAcfsLKrRqf5GsHjbAvBlFjzN06fB4+XvbtC+/QusOMNAcAADApIraBn206ZCko7MEAJjl523TFSMSJElvrGYeIgAAgGlvN7UdndovSvFh/obTtD+KHmcoxM9bM4c6B5q/sSbTcBoAAICu7cNNh1RZ16ie3QM1rme46TgAmjS3uFq0O085JdWG0wAAAHRdNfWNene9s+jhqRvFKHq0g+vHJUuSPtuWq6KKWsNpAAAAuiaHw6HXVzs3oVw3NpkB5oAL6R0VpHE9w2V3SG+v5bQHAACAKZ9uO6wjVfWKD/PX2R42wLwZRY92MDghVEMTQlXXaNe7GxhoDgAAYMLGrCPanVsuXy+rrmxqpQPAdTRvFnt7XbbqG+2G0wAAAHRNzRvF5oxJlM3qmRvFKHq0k+vGOhfwb67Jkt3OQHMAAIDO1jwr4JKhcQoN8DacBsDxpg2MUWSQr/LLa7VwZ57pOAAAAF3OzpwybcwqkZfVotkeOMC8GUWPdnLJ0DiF+Hkpq7hKS/cVmI4DAADQpRyprNP8bYclHd1NDsC1+HhZdfVo5yms15mHCAAA0OmaZ1JPHxSjqGA/w2k6DkWPduLvY9MVI5sW8KvpUQsAANCZ3t2QrboGu1LjQzQ0IdR0HADfYs6YJFks0oq0Iu0vqDAdBwAAoMuoqG3Qh5sOSZKuG+eZA8ybUfRoR80trhbtztOhkmrDaQAAALoGu92hN9Y4N51czwBzwKUldAvQOf2cAzOb/78FAABAx5u36ZAq6xrVq3ugxveMMB2nQ1H0aEe9o4I0vmeE7A7pnbUs4AEAADrD8rRCZRZVKdjPSzOHxZmOA+B7NLege2/DQdXUNxpOAwAA4PkcDofeaBpgfl0X2ChG0aOdNS/g316XrfpGu+E0AAAAnu/1psX7FSMSFODjZTgNgO8zpW93JXTzV2l1vT7ZkmM6DgAAgMfbkHlEu3PL5edtbRnR4MkoerSzaYOi1T3YV/nltfpqZ57pOAAAAB7tcGm1Fu5yrrmuG+vZfWkBT2GzWnRt0/+vr9PiCgAAoMM1bxSbOTROof7ehtN0PIoe7czbZtXVoxIlHf3NBAAAgI7x1tps2R3SmB7h6hMdbDoOgJM0e1SivG0Wbcku0fZDpabjAAAAeKyiilp9ui1X0tGZ1J6OokcHmDM2SVaLtDK9SOkFFabjAAAAeKT6Rrvebpqj1txiFIB7iAzy1YzUWEnSG2vYLAYAANBR3ttwUHWNdg2OD9XQxDDTcToFRY8OEB/mr3P6R0mS3ljNcW0AAICO8PWuPOWX1yoyyEczBsWYjgPgFF3f1OLqw005KqupN5wGAADA89jtDr3ZslGs67QDpujRQa5r2m343oZs1dQ3Gk4DAADgeV5v2lwye1SifLxY1gLuZkyPcPWNDlJ1faPmbTxkOg4AAIDHWZZWqMyiKgX7eemSoXGm43Qang47yFl9uisx3F9lNQ36ZEuO6TgAAAAeJaOwUsvTCmWxSHPGdJ0dS4AnsVgsLX2lX1+dKYfDYTgRAACAZ2meOX3FiAQF+HgZTtN5KHp0EKvVomvHHF3AAwAAoP280bS+OrtflBLDAwynAXC6LhsRL39vm/blV2hNRrHpOAAAAB4jp6RaX+/Kk9S1WltJFD061OxRCfKxWbXlYKm2ZJeYjgMAAOARqusa9b/12ZK63uId8DQhft6aNdzZauE1NosBAAC0mzfXZMnukMb1DFfvqGDTcToVRY8OFBHkq4uGxEqSXl3FAh4AAKA9fLzlkMpqGpQY7q+z+kaZjgPgDP1gXIok6YvtucorqzEbBgAAwAPUNjTq7XXOGYg3jE8xG8YAih4d7AfjnS2uPtmao+LKOsNpAAAA3JvD4dArK52bSa4fmyyb1WI4EYAzNTAuRKOSu6nB7tCba7JMxwEAAHB7n23LVWFFnaJDfHX+wGjTcTodRY8ONjwxTKnxIaprsLe0YQAAAMDp2Zh1RDsPl8nXy6rZoxJNxwHQTpo3i721Nkv1jXbDaQAAANzbq6sOSJKuHZMsb1vXKwF0ve+4k1kslpYjRK+vzlSj3WE2EAAAgBtrbhk6c2icugX6GE4DoL1ckBqryCBf5ZfX6osduabjAAAAuK3th0q1MatE3jaL5oztmhvFKHp0gplD4xQW4K2DR6q1eE++6TgAAABuqaC8Vp9uOyypa/alBTyZj5dV145xPpQzDxEAAOD0vda0lpqRGquoYD/Dacyg6NEJ/LxtLe0XWMADAACcnnfWZam+0aFhiWEanBBqOg6AdnZt05yetRnF2p1bZjoOAACA2ymtqtdHWw5Jkm5oah/aFVH06CTXj02WxSIt2VugjMJK03EAAADcSkOjXW80DTjuyot3wJPFhPppWtOgzdfYLAYAAHDK3t2QrZp6u/rHBGtUcjfTcYyh6NFJkiICNLVvd0nO2R4AAAA4eQt35etwaY3CA3104eBY03EAdJDmgebzNh1SWU294TQAAADuw2536LWm951vGJ8ii8ViOJE5FD06UXPv6XfXZ6u6rtFsGAAAADfy2uoDkqSrRyfKz9tmNgyADjO+Z4T6RAWpqq5RH2w4aDoOAACA21i6r0CZRVUK9vPSrOFxpuMYRdGjE53Vt7uSwgNUVtOgjzYfMh0HAADALaTlV2hFWpGsFum6sUmm4wDoQBaLpeW0x2urM+VwOAwnAgAAcA/N7UGvHJmgAB8vw2nMoujRiaxWi64f53xQf3UVC3gAAICT0dwa9Jz+0UroFmA4DYCOdtnweAX62JReUKmV6UWm4wAAALi87OIqLdqTL0n6wThmIFL06GSzRyXK18uqnYfLtDHriOk4AAAALq2itkHvNbW4uXECi3egKwj289YVIxMkSa+sPGA2DAAAgBt4fXWmHA5pcp9I9eweZDqOcRQ9OllYgI8uHebsqfbKSgaaAwAAfJd5mw6porZBPSMDNbFXpOk4ADpJ8w7FhbvydKik2nAaAAAA11VT36h31mdLOjpTuquj6GFA82++z7YfVn55jdkwAAAALsrhcOj1pr60149LltVqMZwIQGfpEx2s8T0jZHdIb65hsxgAAMC3+WRLjkqq6hUf5q9z+keZjuMSKHoYkBofquFJYapvdOjttdmm4wAAALik1fuLtSevXP7etpZWNwC6jhuaBpq/vTZbNfWNhtMAAAC4HofDoVebNopdNy5JNjaKSaLoYcxNE1IkOfut1TXYzYYBAABwQS+vzJAkXT4iXqH+3obTAOhs5w+MVlyon4oq6zR/62HTcQAAAFzOxqwj2naoVD5eVl0zOsl0HJdB0cOQC1Jj1T3YV/nltfp8R67pOAAAAC7l4JEqfbUzT9LRzSIAuhYvm1XXN532eGXlATkcDsOJAAAAXMvLTTOjZw2LU3igj+E0roOihyE+XlZdN9ZZfXt5RYbhNAAAAK7ltdWZsjukib0j1Cc62HQcAIZcMzpJPl5WbTtUqo1ZR0zHAQAAcBl5ZTX6bJvzNOyNbBRrhaKHQdeOTZK3zaKNWSXaerDEdBwAAACXUF3XqHfWOeee3TShh+E0AEwKD/TRrGFxko7uZAQAAID0xupMNdgdGpMSrkFxoabjuBSKHgZFBfvposGxkqSXVx4wGwYAAMBFfLT5kEqq6pXQzV/n9I8yHQeAYc07Fz/bdlh5ZTVmwwAAALiA2oZGvbk2SxKnPNpC0cOwmyY6dy/O33JYhRW1htMAAACY5XA4WjaD3Dg+RTarxWwgAMYNigvVmJRwNdgdemM1pz0AAAAWbD2swoo6xYb6adqgaNNxXA5FD8OGJYZpaGKY6hrtemtNluk4AAAARq3JKNbu3HL5e9s0e1Si6TgAXETzDsY31mSptqHRbBgAAACDjt0odv24ZHnbeIv/ePwbcQE3Ny3gX1+TqfpGu9kwAAAABr284oAk6bIR8QoN8DYbBoDLmDYoWrGhfiqqrNP8LYdNxwEAADBmU3aJth4slY+XVdeMZqNYWyh6uIALB8cqMshXeWW1+mJHruk4AAAARhwqqdaXO51roRvHp5gNA8CleNusun5csiTnPESHw2E4EQAAgBmvNJ3ymDk0ThFBvmbDuCiKHi7Ax8uq68YmSTq6uxEAAKCreW1VpuwOaUKvCPWLCTYdB4CLuWZ0ony8rNp2qFQbs0pMxwEAAOh0+WU1WrDVeer1JgaYfyuKHi7iurFJ8rJatD7ziLYfKjUdBwAAoFPV1Dfq7XXO+WY3sngH0IaIIF/NHBon6egORwAAgK7kjTVZarA7NCq5m1LjQ03HcVkUPVxEVIifLhoSK0ktg2gAAAC6io82H1JJVb3iw/x13oBo03EAuKjmHY2fbjusvLIas2EAAAA6UV2DXW+scW4Uu2liitkwLo6ihwtp3tX48ZYcFVXUmg0DAADQSRwOh15emSlJumF8smxWi+FEAFxVanyoRiV3U4Pd0fLQDwAA0BV8uu2wCitqFRPip+mDYkzHcWkUPVzI8MQwDU0IVV2DXW+vyzYdBwAAoFOszSjWrsNl8vO26urRiabjAHBxzTsb31yTqdqGRrNhAAAAOsl/m7oDXT8uSd423tb/Lqf0b+fRRx/V6NGjFRwcrKioKM2aNUt79uxpdU9NTY3mzp2riIgIBQUF6YorrlBeXl67hvZUFoul5bTHa6syVd9oNxsIAACgEzS39rxseLzCAnzMhgHaAc9NHWv6oBjFhPipsKKuZZAnAACAJ9uYdURbskvkY7PqmjFJpuO4vFMqeixZskRz587V6tWr9dVXX6m+vl7Tpk1TZWVlyz0//elP9cknn+jdd9/VkiVLlJOTo8svv7zdg3uqi4bEqnuwr3LLavTZ9lzTcQAAADpUdnGVvtjhXPPcPLGH4TRA++C5qWN526z6wfhkSdJ/lmfI4XAYTgQAANCxXlqeIUm6dFicIoN8DadxfRbHGawQCwoKFBUVpSVLlmjKlCkqLS1V9+7d9eabb+rKK6+UJO3evVsDBgzQqlWrNG7cuO/9mmVlZQoNDVVpaalCQkJON5pbe/Lrffr7V3s1LDFMH86daDoOAABAh3lkwU69sCxDk/tE6rUfjjUdxxjWwJ6N56b2d6SyTuMe/Vq1DXb97/bxGtMj3HQkAACADpFTUq3Jj3+jRrtDn949WQPjut7aTzq19e8ZNf8qLS2VJIWHOxeYGzZsUH19vc4777yWe/r376+kpCStWrWqza9RW1ursrKyVldXd+3YJPl4WbU5u0Qbs46YjgMAANAhKmobWuaY3cIpD3gwnpvaX7dAH10+IkHS0Z2PAAAAnujVVZlqtDs0vmdEly14nKrTLnrY7Xbde++9mjhxolJTUyVJubm58vHxUVhYWKt7o6OjlZvbdqumRx99VKGhoS1XYiLDKyODfDVrWJwkFvAAAMBzvb/hoMprGtQzMlBn9e1uOg7QIXhu6ji3NA00/3JnrrKLq8yGAQAA6ABVdQ16a22WJOmWSWwUO1mnXfSYO3eutm/frrfffvuMAjz44IMqLS1tubKzs8/o63mK5p7Wn23PVU5JteE0AAAA7ctud+i/K5ybO26emCKr1WI4EdAxeG7qOH2igzW5T6TsDumVlQdMxwEAAGh3H2w8pNLqeiVHBOic/lGm47iN0yp63HXXXZo/f76++eYbJSQktPx8TEyM6urqVFJS0ur+vLw8xcTEtPm1fH19FRIS0uqCNCA2RBN6RajR7tCrqzJNxwEAAGhX3+zJ14GiKoX4ebW0qAE8Dc9NHa95x+M767JVUdtgOA0AAED7OXaj2E0TUmRjo9hJO6Wih8Ph0F133aV58+Zp0aJF6tGj9ZGakSNHytvbW19//XXLz+3Zs0dZWVkaP358+yTuQpp7W7+1NktVdSzgAQCA53ipafE+Z0ySAn29DKcB2hfPTZ3nrD7d1bN7oMprG/Teek6/AAAAz7F0X4HSCyoV7Oulq0bR2vRUnFLRY+7cuXr99df15ptvKjg4WLm5ucrNzVV1tbP9UmhoqH74wx/qvvvu0zfffKMNGzbo5ptv1vjx4zVu3LgO+QY82Tn9o5QcEaDS6np9sPGQ6TgAAADtYndumVakFclmteiGCSmm4wDtjuemzmO1WlpaA/935QHZ7Q7DiQAAANrHSysOSJJmj05UEBvFTskpFT2eeeYZlZaWaurUqYqNjW253nnnnZZ7/vGPf+jiiy/WFVdcoSlTpigmJkYffPBBuwfvCqxWi25ueiPgvysyWMADAACP8N/lByRJMwbFKD7M32wYoAPw3NS5rhgRrxA/L2UWVWnR7nzTcQAAAM7YvrxyLd1bIKvF2doKp+aUSkQOx/e/6e7n56enn35aTz/99GmHwlFXjkrU377cq/SCSi3dV6Cp/RhYAwAA3FdRRa3mbXaeYL1lUorZMEAH4bmpcwX4eGnO2CQ9t2S/XlqRofMGRpuOBAAAcEb+u/KAJOn8gdFKDA8wG8YNndYgc3SeIF8vzR7t7NnWfKQJAADAXb25Jkt1DXYNSQjViKRupuMA8BA3jHcO91yZXqRdh8tMxwEAADhtRyrr9MHGg5LU0sYTp4aihxu4aUKKrBZp6d4C7csrNx0HAADgtNQ12PXq6kxJ0i0Te8hisRhOBMBTxIf5a8agGEnO1sAAAADu6q11Waqpt2tgbIjG9gg3HcctUfRwA4nhATq/6Yh289EmAAAAd7NgW44KymsVFeyrCwfHmo4DwMM0t8z7cHOOCitqzYYBAAA4DfWNdr26smmj2CQ2ip0uih5u4pamo0wfbDyoI5V1htMAAACcGofDoZeaBpjfMD5ZPl4sQwG0rxFJ3TQ0IVR1DXa9sTrLdBwAAIBT9tn2XOWW1SgyyEeXDGWj2OniadNNjOkRrkFxIaqpt+vNtSzgAQCAe1mbUaxth0rl62XVnDFJpuMA8EAWi0W3THJuFntt9QHV1DcaTgQAAHDyHA6HXly2X5J0/bhk+XrZDCdyXxQ93ITFYtGPJjsX8C+vPKDaBhbwAADAfbywzNlj/4qRCYoI8jWcBoCnunBwrGJD/VRYUaePN+eYjgMAAHDS1h04oq0HS+XjZdX145JNx3FrFD3cyMVD4hQT4qeC8loW8AAAwG3sL6jQ17vzJB1t2QkAHcHbZtVNE1IkSS8u3y+Hw2E2EAAAwElqPuVxxYh4RbJR7IxQ9HAj3jarbpqYIkn6z/IMFvAAAMAtvLQiQw6HdG7/KPWOCjIdB4CHu2ZMkgJ9bNqbV6Gl+wpNxwEAAPheGYWV+mqXc6PYDyexUexMUfRwM3NGJynAx6bdueVansYCHgAAuLYjlXV6b8NBSdIPJ7N4B9DxQv29NXt0oqSjOyYBAABc2X+bNoqd3a+7ekcFm47j9ih6uJnQAG/NHtW8gM8wnAYAAOC7vbEmUzX1dg2KC9H4nhGm4wDoIm6Z2ENWi7RsX6F255aZjgMAAPCtSqrq9O5650axWyf3NJzGM1D0cEPNC/glewu0N6/cdBwAAIA21TY06pVVmZKci3eLxWI4EYCuIjE8QDNSYySxWQwAALi2N9Zkqbq+UQNiQzS+FxvF2gNFDzeUFBGg6YOaF/Ac1wYAAK7p4805KiivVUyIny4aEms6DoAu5kdNOyU/2nxI+WU1htMAAACcqLahUS+vPCBJunVyDzaKtROKHm6qeQH/4SbnmwkAAACuxOFw6D/Lnburb5qYIm8by04AnWtEUjeNTO6m+kaHXm06dQYAAOBKPtlyWAXltYoO8dXFQ+JMx/EYPH26qZHJ3TQ8KUx1jXa9tuqA6TgAAACtLE8r1O7ccgX42DRnTJLpOAC6qB9N6iFJen1NpqrrGg2nAQAAOMrhcLR08blxQop8vHirvr3wb9KNNQ+2eW01C3gAAOBaXmjqoT97VKJC/b0NpwHQVU0bFKPEcH+VVNXrvY0HTccBAABosSKtSLtzy+XvbdN1Y5JNx/EoFD3c2LSB0Uro5q8jVfX6YBMLeAAA4Br25JZr6d4CWS3SD5t2WQOACTarRbdMdP459NLyDNntDsOJAAAAnF5c7jzlMXtUgkID2CjWnih6uDEvm7VlAf+fZSzgAQCAa/hP0+J9RmqMEsMDDKcB0NXNHpWoED8vZRRW6uvd+abjAAAAaF9euRbvKZDFIt3CRrF2R9HDzc0enahgPy/tL6zUIhbwAADAsPzyGn24KUeS9MNJPQ2nAQAp0NdL1451tox4oalvNgAAgEkvNrUDnj4wRskRgYbTeB6KHm4uyNdL1zYNB2UBDwAATHttVabqGu0akRSmkcndTMcBAEnSjROS5WW1aG1GsbZkl5iOAwAAurCC8lrN23xIkvSjyZzy6AgUPTzATRNT5GW1aE1GsTazgAcAAIZU1jbo1VWZkqTbpnDKA4DriA3118yhcZKk59ksBgAADHpl5QHVNdg1nI1iHYaihweIDfXXzGFNC/il6YbTAACArup/67NVWl2vlIgAnT8wxnQcAGjl1qZi7GfbDiurqMpwGgAA0BVV1jbotdXOjWK3T+kpi8ViOJFnoujhIZp3U36+PVeZRZWG0wAAgK6modHe0pf2R5N7ymZl8Q7AtQyIDdFZfbvL7pBeXM5pDwAA0PneWcdGsc5A0cND9I8J0dR+TQv4pjccAAAAOsuCbYd1qKRaEYE+unJkguk4ANCm25s2i/1vfbaKK+sMpwEAAF1JfaNd/1nufN/21ilsFOtIFD08yG3HLOCLKmoNpwEAAF2Fw+HQ80udu6ZvnJAiP2+b4UQA0LbxvSKUGh+imnq7Xl11wHQcAADQhXx6zEaxK0awUawjUfTwION7RmhwfKhqG+wtQ0QBAAA62sr0Iu3IKZO/t00/GJdsOg4AfCuLxaLbp/SSJL26KlPVdY2GEwEAgK7A4XDouSVsFOssFD08iMVi0e1nOU97vLrqAAt4AADQKZ5dki5Junp0oroF+hhOAwDf7YLUGCV081dxZZ3e23jQdBwAANAFrEgr0s7DbBTrLBQ9PMyMQTFKDPfXkap6vbsh23QcAADg4XbmlGnZvkJZLdIPJ/UwHQcAvpeXzapbJzs3i724bL8a7Q7DiQAAgKd7bikbxToTRQ8P42Wz6keTmhfwGSzgAQBAh3q+afF+4eBYJYYHGE4DACfnqlEJCgvwVmZRlb7YkWs6DgAA8GA7ckrZKNbJKHp4oKtGJahbgLeyiqv0+XYW8AAAoGMcKqnWJ1sPS1JLj3wAcAcBPl66oam1xHNL0uVwsFkMAAB0jBeWOmd5XDQkjo1inYSihwcK8PHSD8anSHIenWIBDwAAOsJLy52nSif0itDghFDTcQDglNwwIUW+XlZtOViqNRnFpuMAAAAPdPBI1TEbxXoaTtN1UPTwUDeOT5avl1VbD5Zq9X4W8AAAoH2VVtXrrbVZkqTbWLwDcEORQb66cmSCJOn5ph2YAAAA7eml5QdaNoqlxrNRrLNQ9PBQEUG+umpU8wI+3XAaAADgaV5fk6mqukb1jwnWWX27m44DAKflR5N7ymKRFu3O1968ctNxAACABymtqtfb65wbxW4/i3bAnYmihwf70STnAv6bPQXanVtmOg4AAPAQNfWN+u+KA5KcpzwsFovZQABwmnpEBmrGoBhJ0nNLOO0BAADaz7Ebxab0iTQdp0uh6OHBUiIDdUEqC3gAANC+3t94UIUVtYoL9dPFQ+JMxwGAM9K88/KjzYeUU1JtOA0AAPAENfWNeml5hiTp9rPYKNbZKHp4uDvO6i1J+nhLjrKLqwynAQAA7q6h0d6ymeLWKT3l48VyEoB7G5YYpgm9ItRgd+iFZWwWAwAAZ+7d9dkqqqxTQjd/XcJGsU7HU6qHG5wQqsl9ItVod+hFFvAAAOAMfbY9V1nFVeoW4K2rRyeajgMA7eKOqc7THm+vzVZxZZ3hNAAAwJ01NNr13FLn+7C3TekpLxtvwXc2/o13AXc0Hdd+e122CitqDacBAADuyuFw6N+L0yVJN03ooQAfL8OJAKB9TOodqdT4EFXXN+qVlQdMxwEAAG5s/tbDOnikWhGBPrpqJBvFTKDo0QWM7xWhoQmhqm2w6+WmoaMAAACnasneAu06XKYAH5tuGJ9sOg4AtBuLxdLSGviVVQdUWdtgOBEAAHBHDodDzzRtFLt5Yor8fWyGE3VNFD26AIvF0nJc+9VVB1ReU284EQAAcEfNi/c5Y5LULdDHcBoAaF8zUmOUEhGgkqp6vb0u23QcAADghr7Zk689eeUK8vXSD8anmI7TZVH06CKmDYxRz+6BKqtp0Ftrs0zHAQAAbmZD5hGtySiWt82iH03uYToOALQ7m9Wi25taA7+4bL/qGuyGEwEAAHfTvFHsurFJCvX3Npym66Lo0UVYrRb9uGUBn6HahkbDiQAAgDt5dolz8X7Z8HjFhvobTgMAHePyEfGKCvbV4dIafbj5kOk4AADAjaw7UKx1B47Ix2bVLZPYKGYSRY8uZNaweMWE+Cm/vFbzNrKABwAAJ2dfXrm+2pkni0W6bUov03EAoMP4etlaTrM9uyRddrvDcCIAAOAunm065XHFyHhFh/gZTtO1UfToQny8rC0L+OeW7lcjC3gAAHASnmk65TF9YIx6RwUZTgMAHWvOmCSF+Hlpf0GlvtyZZzoOAABwA7tzy/T17nxZLdLtbBQzjqJHFzNnjLOfXEZhpT7fnms6DgAAcHEHj1Tp4805kqQfT2XxDsDzBft564amwaPPLE6Tw8FmMQAA8N2aT3lcMDhWKZGBhtOAokcXE+jrpRsnpEiSnlnCAh4AAHy3F5dlqMHu0IReERqWGGY6DgB0ipsmpsjXy6otB0u1Kr3IdBwAAODCsour9MnWw5KkO85io5groOjRBd00IUX+3jZtP1Sm5WmFpuMAAAAXVVxZp7fXZUmS7uCUB4AuJDLIV1ePTpR0tMUfAABAW15Y5hwjMLlPpFLjQ03HgSh6dEnhgT66ZoxzAf/0N2mG0wAAAFf13xUZqqm3KzU+RJN6R5qOAwCd6tbJPWWzWrRsX6G2ZJeYjgMAAFxQQXmt3lmXLYmNYq6EokcXdevknvK2WbR6f7E2ZBabjgMAAFxMWU29Xl55QJI0d2pvWSwWs4EAoJMlhgfo0qFxktgsBgAA2vbi8v2qbbBreFKYxveMMB0HTSh6dFFxYf66fHiCJOmpRSzgAQBAa6+tylR5TYN6RwVp+qAY03EAwIg7z+4li0X6cmee9uSWm44DAABcSElVnV5flSlJuutsNoq5EooeXdgdU3vJapG+2VOg7YdKTccBAAAuoqquQf9ZniFJunNqL1mtLN4BdE29o4I1o6nw++/FbBYDAABHvbzygCrrGjUgNkTn9I8yHQfHoOjRhaVEBuoSjmsDAIDjvLU2W8WVdUoM99fMprUCAHRVc8/uLUn6ZEuODhRWGk4DAABcQUVtg/674oAkTnm4IooeXdydU50L+M935Cotn+PaAAB0dbUNjXp+abok6Y6zesvLxnIRQNeWGh+qs/t1l90hPbM43XQcAADgAl5fnanS6nr17B6oGam0A3Y1PMV2cf1igjVtYLQcDunf37CABwCgq3t/wyHlldUqJsRPV4yMNx0HAFzCXec4N4t9sOmgckqqDacBAAAm1dQ36sVlze2Ae8tGO2CXQ9EDLQv4j7bkKKuoynAaAABgSkOjXc8ucW6CuHVKT/l62QwnAgDXMDI5XON6hqu+0aHnl+43HQcAABj0zrpsFVbUKqGbvy4dRjtgV0TRAxqSEKYpfbur0e7Qs0s57QEAQFf1ydYcZRVXKTzQR3PGJJqOAwAu5a6z+0iS3lqbpYLyWsNpAACACXUNdj3XtFHs9rN6yZt2wC6J/yqQ5By4I0nvrT+o3NIaw2kAAEBns9sderqp1eUPJ/VQgI+X4UQA4Fom9o7Q0MQw1TbY9eJyTnsAANAVzdt0UDmlNYoK9tVVIxNMx8G3oOgBSdKYHuEakxKuukY7x7UBAOiCvtiRq7T8CgX7eekH45NNxwEAl2OxWPSTps1ir6/KVElVneFEAACgMzU02vXMYudGsdum9JSfN+2AXRVFD7Ronu3x5tpMFVVwXBsAgK7C4XDoqW/SJEk3TUhRiJ+34UQA4JrOHRCl/jHBqqxr1MsrD5iOAwAAOtGCbYd1oKhK3QK8de3YJNNx8B0oeqDF5D6RGpIQqpp6u15akWE6DgAA6CSL9xZoR06Z/L1tunliD9NxAMBlWSwWzW067fHfFQdUUdtgOBEAAOgMdrtD/25qB3zLRNoBuzqKHmhx7AL+1ZWZKq2uN5wIAAB0NIfDoacWOU95XDc2SeGBPoYTAYBru3BwrHpGBqq0ul6vr840HQcAAHSCr3blaU9euYJ9vXTDhBTTcfA9KHqglfMHRKtfdLDKaxv0X057AADg8VamF2lD5hH5eFl165SepuMAgMuzWS26Y2ovSdILS/erqo7THgAAeDKHw6Env94nSfrB+GSF+tMO2NVR9EArVqtFPznXedrjpeUZKqvhtAcAAJ7sn02L9zmjExUd4mc4DQC4h1nD45UY7q+iyjq9uSbLdBwAANCBFu3O146cMgX42PSjyWwUcwcUPXCCC1Jj1TsqSGU1DXqV4XwAAHis1fuLtDajWD42q37ctGsZAPD9vG1WzZ3q3Cz27JL9qqlvNJwIAAB0BIfD0bJR7Afjk2kH7CYoeuAENqtFPznHuYB/cXkGw/kAAPBQ/1zoXLzPHp2g2FB/w2kAwL1cPiJB8WH+Kqyo5bQHAAAeavHeAm09WCp/b5tu5ZSH26DogTZdPCROPSMDVVJVr1dXHTAdBwAAtLO1GcVatb9I3jaL7mjarQwAOHk+XlbdebbzlNyzS9I57QEAgIdxOBwtG8WuH5ekyCBfw4lwsih6oE02q0V3NZ/2WJahSk57AADgUf61yLl4v3JkouLDOOUBAKfjypEJigv1U355rf63Ptt0HAAA0I6W7SvU5uwS+XpZdesUTnm4E4oe+FYzh8YpJSJAxZV1en11puk4AACgnWzIPKJl+wrlZbXoTmZ5AMBp8/Wy6Y6mP0efWZyu2gZOewAA4AmOneVx3dhkRQX7GU6EU0HRA9/Ky2bV3LOdpz2eX7pf1XUs4AEA8ARPNi3eLx8Rr8TwAMNpAMC9XTUqUdEhvjpcWqN31x80HQcAALSDlelF2pB5RD5eVt1+Fqc83A1FD3ynWcPjlRjur6LKOr2xhtMeAAC4u83ZJVqyt0A2q6VlcwMA4PT5edt0x1lHT3vUNdgNJwIAAGeq+ZTHnNGJig7hlIe7oeiB7+Rts+qupjdEnlu6n+F8AAC4ueZTHrOGxSs5ItBwGgDwDNeMSVL3YF8dKqnW+xs57QEAgDtblV6ktRnF8rFZ9WPaAbslih74XpcNT1B8mL8Kymv11tos03EAAMBp2nawVIt258tqke46h1MeANBe/Lxt+nHTaY+nv0lTfSOnPQAAcFfNG8Vmj05QbKi/4TQ4Hadc9Fi6dKkuueQSxcXFyWKx6MMPP2z1+ZtuukkWi6XVNWPGjPbKCwN8vKy682znAv7ZJemc9gAAwE09uci5eL90WLx6RHLKA+goPDN1TdeOSVJkkI8OHqnWvE2HTMcBAACnYW1GsVbtL5K3zaI7prJRzF2dctGjsrJSQ4cO1dNPP/2t98yYMUOHDx9uud56660zCgnzrhyZoLhQP+WV1ep/67NNxwEAAKdoR06pvtqZJ4tFzPIAOhjPTF2Tv49Nt01xDjp9+ps0NXDaAwAAt9N8yuPKkYmKD+OUh7vyOtUXXHDBBbrgggu+8x5fX1/FxMScdii4Hl8vm+6Y2ksPfbRDT3+TptmjEuXnbTMdCwAAnKQnFjoX75cMiVPvqCDDaQDPxjNT13X9uGQ9t2S/Mouq9MGmQ5o9KtF0JAAAcJLWZhRreVqhvKwW3cksD7fWITM9Fi9erKioKPXr10933HGHioqKvvXe2tpalZWVtbrgmmaPTmw57cFsDwAA3Me2g85THlaLdPe5fUzHAaBTe2aSeG5yFwE+Xrr9LOdpjye/3sdsDwAA3Mg/vtorSbpqVKISwwMMp8GZaPeix4wZM/Tqq6/q66+/1mOPPaYlS5boggsuUGNj23MgHn30UYWGhrZciYnshHFVvl42zW0aevrvxcz2AADAXfxjoXPxfumweE55AC7gVJ+ZJJ6b3MkPxqUoMshXB49U670NB03HAQAAJ2FVelHLLI+7zqEdsLtr96LHNddco5kzZ2rw4MGaNWuW5s+fr3Xr1mnx4sVt3v/ggw+qtLS05crOZl6EK7uqqZ9dQXmtXl+daToOAAD4HpuzS7Rod75sVgunPAAXcarPTBLPTe7E38fZGliSnlqUproGTnsAAODKHA5Hy0axq0czy8MTdEh7q2P17NlTkZGRSktLa/Pzvr6+CgkJaXXBdfl4WXX3uc5q57NL0lVV12A4EQAA+C7NR7RnDYtXj8hAw2kAtOX7npkknpvczXVjkxQV7KtDJdX633oKVAAAuLKV6UVam1EsH5tVc8/mlIcn6PCix8GDB1VUVKTY2NiO/qXQSS4fkaCk8AAVVtTptVWc9gAAwFVtyDyiJXsLmk55sHgHXBXPTJ7Hz9vWMgD16W/SVNtAa2AAAFyRw+Fo2Sg2Z0yiYkM55eEJTrnoUVFRoc2bN2vz5s2SpIyMDG3evFlZWVmqqKjQz3/+c61evVoHDhzQ119/rUsvvVS9e/fW9OnT2zs7DPG2WfWTpt52zy3dr8paTnsAAOCKnmg6on3liAQlR3DKA+gsPDNBkq4Zk6SYED8dLq3RO+s47QEAgCtatq9Q6zOPyMfLqjs55eExTrnosX79eg0fPlzDhw+XJN13330aPny4fvvb38pms2nr1q2aOXOm+vbtqx/+8IcaOXKkli1bJl9f33YPD3MuGx6vlIgAFVfW6ZVVB0zHAQAAx1mbUaxl+wrlZWUQH9DZeGaC5DztMffso6c9auo57QEAgCs5dpbH9WOTFR3iZzgR2ovXqb5g6tSpcjgc3/r5L7744owCwT142ay657w++uk7W/T80v36wbhkBft5m44FAACaNB/RvmpUohLDAwynAboWnpnQbPboRD2zOF05pTV6c02WbpnUw3QkAADQZPHeAm3KKpGft1U/ntrTdBy0ow6f6QHPNXNovHp2D1RJVb1eWXnAdBwAANBkVXqRVu0vkreNUx4AYJKvl013ndNHkvTMknRV13HaAwAAV3DsLI8fjEtWVDCnPDwJRQ+cNpvVonvOdS7gn1+6X2U19YYTAQCAY49oXz06UfFhDOIDAJOuHJmg+DB/FZTX6o01mabjAAAASYt252vrwVL5e9t0+1m9TMdBO6PogTNy8ZA49YkKUllNg15anmE6DgAAXd7K9CKtzSiWj82quQziAwDjfLysuvtc55/HzyxOV1Vdg+FEAAB0bcduFLtxQooig5ir5mkoeuCM2KwW3XOe87THf5ZlqKSqznAiAAC6LofDob83HdGeMyZRsaGc8gAAV3D5iAQlhQeoqLJOr6zktAcAACZ9uTNP2w+VKdDHptumMMvDE1H0wBm7MDVW/WOCVV7boOeX7jcdBwCALmvxngJtyDwiXy+r7uSUBwC4DG+bVXc3tQZ+bmk6rYEBADCk0e7Q3790bhS7aWKKwgN9DCdCR6DogTNmtVp0/7R+kqT/rjiggvJaw4kAAOh67HaH/u/LPZKcR7SjQxjEBwCu5LLh8erVPVAlVfX6zzJaAwMAYML8rTnak1euED8v3TaFWR6eiqIH2sV5A6I0NDFM1fWNevqbNNNxAADocj7bnqsdOWUK8vXSjxnEBwAux2a16L7znZvF/rM8Q8WVtAYGAKAz1TfaW9oB335WL4X6extOhI5C0QPtwmKx6OdNpz3eXJOlQyXVhhMBANB1NNod+vtXzlMet0zqwRFtAHBRF6TGaGBsiCpqG/TsknTTcQAA6FLe23BQmUVVigzy0U0TUkzHQQei6IF2M7F3hMb1DFddo13/+nqf6TgAAHQZ8zYdUnpBpUL9vfWjyT1MxwEAfAur1aKfTe8rSXpl5QHlldUYTgQAQNdQU9+oJ5ver7xjam8F+noZToSORNED7cZisejn052nPd7dcFAZhZWGEwEA4PnqGux6YqHziPYdU3spxI8j2gDgys7uF6WRyd1U22DXU4toDQwAQGd4c02WDpfWKDbUT9eNTTIdBx2Mogfa1cjkcJ3dr7sa7Y6WN2AAAEDHeWd9tg4eqVb3YF/dOD7FdBwAwPewWCz6WVNr4LfXZSm7uMpwIgAAPFtlbYP+vdi50eDuc/vIz9tmOBE6GkUPtLv7mxbwH2/J0e7cMsNpAADwXNV1jS0tJe86u7f8fVi8A4A7GN8rQpN6R6q+0aF/0hoYAIAO9fLKAyqsqFNyRICuHJlgOg46AUUPtLvU+FBdNDhWDof0ty857QEAQEd5bfUB5ZfXKj7MX9eMSTQdBwBwCn7W1Br4g40HlZZfYTgNAACeqbS6Xs8tSZck/fS8vvK28XZ4V8B/ZXSIn57fV1aL9NXOPG3OLjEdBwAAj1NeU69nFjsX7/ec10e+XpzyAAB3MiwxTOcPjJbdIf2D1sAAAHSIF5buV1lNg/pFB+uSoXGm46CTUPRAh+gdFaTLhjuPi/3tyz2G0wAA4HleWn5AR6rq1bN7oC4fHm86DgDgNNw/ra8sFmnB1sPakVNqOg4AAB6lsKJWL63IkCTdN62vbFaL4UToLBQ90GHuPa+PvG0WLdtXqFXpRabjAADgMY5U1unFZfslOY9oe3FEGwDcUv+YEF0yxLnrlNbAAAC0r2cWp6uqrlFDE0I1bWC06TjoRDwho8Mkhgfo6tHO/uKPf7FbDofDcCIAADzDM0vSVV7boAGxIbpocKzpOACAM/DT8507Txftzte6A8Wm4wAA4BEOlVTrtVWZkqT7p/WTxcIpj66Eogc61N3n9JG/t02bskr05c4803EAAHB7OSXVennlAUnSL6b3k5Uj2gDg1npEBmr2KOdmscc+Y7MYAADt4R9f7VVdo13je0Zocp9I03HQySh6oENFhfjplkkpkqS/frFHDY12s4EAAHBzTyzcq7oGu8b0CNfUft1NxwEAtIN7z+sjP2+r1mce0de78k3HAQDAre3NK9cHGw9Kkh64oD+nPLogih7ocLef1UthAd5Ky6/QBxsPmY4DAIDb2pdXrvc2OBfvv2TxDgAeIzrETzdP7CHJ2Rq40c5pDwAATtfjn++R3SFdkBqjYYlhpuPAAIoe6HAhft6aO7W3JOkfC/eqpr7RcCIAANzT/33pXLxPGxitEUndTMcBALSjH5/VS6H+3tqbV6F5m9gsBgDA6Vh/oFgLd+XJZrXoZ9P7mY4DQyh6oFP8YHyy4kL9dLi0Rq+uOmA6DgAAbmdj1hF9sSNPVov0ixks3gHA04T6e+uOqb0kOfuQs1kMAIBT43A49NjnuyVJV41MUK/uQYYTwRSKHugUft423Xt+X0nS09+kq7S63nAiAADch8Ph0GOfORfvV45MUO+oYMOJAAAd4aYJKYoJ8dOhkmq9vjrTdBwAANzKot35WnfgiHy9rLr3vL6m48Agih7oNFeMSFCfqCCVVtfruSXppuMAAOA2Fu8t0JqMYvmweAcAj+bnbdO95/WRJD39TZrKatgsBgDAyWi0O/T453skSTdNTFFMqJ/hRDCJogc6jc1q0c+beum9tCJD+WU1hhMBAOD67Mcu3iekKC7M33AiAEBHunJkgnp1D9SRqnq9uHS/6TgAALiFjzYf0p68coX4eenOs3qbjgPDKHqgU50/MFojksJUU2/XP7/eZzoOAAAu75OtOdp1uEzBvl6646xepuMAADqYl83aslnsxeUZKiivNZwIAADXVtvQqL99uVeSdMfU3goN8DacCKZR9ECnslgsemBGf0nS2+uylVFYaTgRAACuq67B3rJ4//HUXuoW6GM4EQCgM0wfFKOhiWGqqmvUvxaxWQwAgO/yxuosHSqpVnSIr26akGI6DlwARQ90urE9I3R2v+5qtDv0f1/uMR0HAACX9dbaLGUVV6l7sK9unphiOg4AoJM4N4s5T3u8uSZLmUVsFgMAoC3lNfV66ps0SdI95/aVv4/NcCK4AooeMOIXM/rLYpEWbD2szdklpuMAAOByymvq9WRTK8h7zu2jAB8vw4kAAJ1pQq9ITenbXQ12h/76BZvFAABoy/NL96u4sk49IwM1e1SC6ThwERQ9YMSA2BBdPtz5B9GfP90lh8NhOBEAAK7luSX7VVRZp57dA3X16ETTcQAABvyyabPYfDaLAQBwgtzSGr2wbL8k5wZrLxtvdcOJ3wkw5v5pfeXrZdXajGIt3JVvOg4AAC4jt7RGLy53Lt4fmNFf3izeAaBLGhh3zGaxBWwWAwDgWH//ao9q6u0aldxN0wdFm44DF8ITNIyJC/PXLZN6SJL+8tkuNTTaDScCAMA1/O1L5+J9dEo3TRvI4h0AurKfTW/aLHagWF/tzDMdBwAAl7A7t0zvbjgoSXrwwgGyWCyGE8GVUPSAUXdM7aXwQB+lF1Tq7XXZpuMAAGDcrsNlem+jc/H+KxbvANDlxYb664fNm8U+3616NosBAKBHP90th0O6cHCMRiZ3Mx0HLoaiB4wK8fPW3ef0liQ9sXCvKmobDCcCAMCsv3zmXLxfNCRWw5NYvAMApB83bRbbX1Cpd9gsBgDo4pbvK9SSvQXytln0i+n9TceBC6LoAeOuHZuslIgAFVbU6fml+03HAQDAmNaL936m4wAAXESIn7fuObePJDaLAQC6NrvdoUc/2yVJum5sslIiAw0ngiui6AHjfLysemCGsyr7wtL9yiurMZwIAIDOZ7c79OdPnYv368clKzmCxTsA4KhrxyapR2Sgc7PYknTTcQAAMOLDzYe0I6dMwb5eurtpQwBwPIoecAkzUmM0IilM1fWN+sdXe03HAQCg083beFA7D5cp2M9Ld5/D4h0A0Jq3zdpyCvCFZRlsFgMAdDk19Y36vy/2SJLuONvZ+hFoC0UPuASLxaJfXzRAkvS/9dnam1duOBEAAJ2nprpSfRdcodm2bzR3ai91Y/EOAGjDjFTnsNbq+kb9/Us2iwEAuoDGeil/l7TtPe187X79qeqPGhVSolsm9jCdDC7My3QAoNnI5HDNGBSjz3fk6i+f7dZLN402HQkAgE6x+41faJhjjx7wzlPgyF+ZjgMAcFEWi0W/urC/rnhmld7dkK1bJvVQv5hg07EAAGgfFflS3nYpb0fTtV0q2CM11kmSRkiSTfIfXCs/b5vRqHBtFD3gUh64oL8W7srTot35WplWqAm9I01HAgCgQ5Xt/FrDDr4uSdoz9s+aEBxuOBEAwJWNTA7XBakx+mx7rh79bJdevnmM6UgAAJyahlpnMaO5sNFc6KgsaPt+n2BleffQktIolYb01Z0Tz+3cvHA7FD3gUnpEBuq6sUl6ZVWmHl6wS/N/Mkk2q8V0LAAAOkZ1iezz7pAkfeY7Q9OnX2s4EADAHfxiRn99tTNPi/cUaOneAk3p2910JAAATuRwSGU5xxQ3mk5wFO6VHI1tvMAiRfSWogdJ0alNPw5Sen24pj+xTA12h16/bKys4WySxnej6AGXc895ffXBpkPadbhM723I1tWjk0xHAgCgQ5TNu09h9Xk6YI9W+GV/lZVCPwDgJPSIDNQN41P00ooM/WnBTn3aa7K8bIzsBAAYVFclFeySco9rT1VT0vb9/t1aFTYUnSp17y/5BJxw66OvrFOD3aFz+kdpUh8KHvh+FD3gcsIDfXTPuX30pwW79H9f7tVFQ+IU5MtvVQCAh9kxTyF731ejw6K3E36tX/anyA8AOHn3nNtHH2w6qL15FXp7XbauH5dsOhIAoCuw26XSrNaFjbwdUlG6JMeJ91u9pMi+rYsb0YOk4FjJ8v2bvlakFWrhrnx5WS361YUD2v/7gUfinWS4pBvGp+j11Zk6UFSlZxen62fT+5mOBABA+yk7rPqP7pW3pOfsl+qay680nQgA4GZCA7x177l99PtPduofX+3VzGFxCvHzNh0LAOBJasqk/J3HDRffKdWVt31/YJSzoBGTerS4EdlX8vI9rV++0e7Qw/N3SpKuH5es3lFBp/udoIuh6AGX5ONl1YMXDtDtr23QC8v2a87YJMWH+ZuOBQDAmXM4ZP9orrzrSrTNnqKS0fcpJTLQdCoAgBu6blyyXludqfSCSj29KE0PsgMWAHA67I1SccZxxY3tUklm2/fbfJytqFq1pxokBUW1a6x312drd265Qv29dc+5fdr1a8OzUfSAy5o2MFrjeoZr9f5iPfbZbj05Z7jpSAAAnLn1/5E1/WvVOLz1e9vdeun8gaYTAQDclLfNql9fNEC3vLxe/11xQNeNTVZSxIm90AEAaFFVfGJrqvxdUkN12/eHxJ84eyOil2Tr2NOFFbUN+r8v90qS7j63j7oF+nTorwfPQtEDLstiseg3Fw3UJU8t18dbcnTTxBSNSOpmOhYAAKevME2OL34ji6S/NMzRpRefq1B/WpEAAE7f2f2iNLlPpJbtK9Sjn+3SM9ePNB0JAOAKGuulorTWxY3c7VJ5Ttv3e/lL0QNbz92IGigFhHdu7ib//iZNhRW16hEZqB8wtwqniKIHXFpqfKiuHJGgdzcc1MPzd+qDOybIchJDjgAAcDmN9dIHt8rSUK1ljala3u0y/XoMw8sBAGfGYrHo1xcN0IX/XKbPtudqzf4ije0ZYToWAKAzVeSf2JqqYI/UWNf2/WHJUszg1qc3uqVIVlunxv422cVVenF5hiTpwQv6y8fLajgR3A1FD7i8n0/vpwXbDmtTVok+3pKjS4fFm44EAMCpW/Y3KWejSh2B+nn97Xr04lR521i8AwDOXP+YEF09Oklvrc3Snxbs0kdzJ8pqZbMYAHichlpnMaPl9EZToaOyoO37fYJbz9yITpWiBkh+IZ2b+xQ99vlu1TXYNb5nhM4fGG06DtwQRQ+4vKgQP91xVi/97au9euyz3Zo+KEZ+3q5ReQYA4KQc2iAteVyS9FD9zerTp5+m9utuOBQAwJPcd35ffbIlR9sOleqDTYd05cgE05EAAKfL4ZDKclq3psrbIRXulRyNbbzAIkX0bt2aKnqQFJYkuVnHlA2ZxZq/9bAsFuk3Fw+g4wtOC0UPuIVbp/TUW2uzlFNaoxeX7ddd5/QxHQkAgJNTVyV9cJvkaNTHjeM13zFBn100kMU7AKBddQ/21dyze+uxz3frr1/s1oWDYxTgwyM/ALi8uiqpYJdz3sax7alqStq+3y/suNZUg6TuAySfgM5M3SHsdof+OH+XJGn2yEQNigs1nAjuihUQ3IKft00PXNBf97y9Wf9enK4rRyYqJtTPdCwAAL7fV7+VitJUaInQQ/U3a87YJPWLCTadCgDggW6emKI31mTq4JFqPbM4XfdP62c6EgCgmd0ulWa1Lmzk7ZCK0iU5Trzf6iVF9m3dmip6kBQc63anN07Wh5sPaUt2iQJ9bLp/el/TceDGKHrAbcwcGqdXVh7QxqwSPfb5bv3j6mGmIwEA8N3SFkrrXpAk3Vt7m+x+YbrvfBbvAICO4edt068vHKA73tio55bu1+xRiUoMd/+dvwDgdmrKpPydxw0X3ynVlbd9f2DUicWN7v0kL9/OzW1QRW2D/vLZbknS3HN6KyqYzc44fRQ94DYsFot+P3OQLn16heZtOqTrxyVpZHK46VgAALStqlj6cK4k6S1doOX2wfrteX0VEdR1HlwAAJ1vRmqMxveM0Kr9RXpkwS49+4ORpiMBgOeyN0rFGccVN7ZJJVlt32/zkbr3bz13I3qQFBTVubld0NPfpCm/vFbJEQH64aQepuPAzVH0gFsZkhCm2SMT9c76bP3+4536aO5EWa2eeaQPAODGHA5p/k+lilwV+CbrD6Wz1ScqSD8Yn2w6GQDAw1ksFv1u5kBd9ORyfb4jVyvSCjWxd6TpWADg/qqKT2xNlb9Laqhu+/6Q+ONOb6RKEb0km3fn5nYDBwor9Z9lGZKkhy4aKF8vm+FEcHcUPeB2fj6jnz7ddljbDpXq3Q3Zunp0kulIAAC0tu1daeeHcli9dGvFraqRr353ySB526ymkwEAuoD+MSG6fmySXlmVqT98skOf3j1ZXvwdBAAnp7FeKkprXdzI3S6V57R9v5e/FD2wdWuqqIFSAN1JTtafFuxUXaNdU/p217kDOPWCM0fRA24nMshX95zXR39asEuPf75HM1JjFepPlRwA4CJKsqUFP5MkvRd0rTZX9dS0gdGa1IddtgCAzvPT8/vq4y052ptXoddXZ+qmibQKAYATVOQf15pqu1SwR2qsa/v+sOSjhY2YptMb3VIkKycTTtfiPflauCtfXlaLfnvxQFk8dEg7OhdFD7ilG8an6K21WUovqNSTX+/TQxcPNB0JAADJbpc+vEOqLVVJ+FD9Mud8+XhZ9ZuL+HsKANC5wgJ8dP+0fvrNh9v196/2auaweIUH+piOBQBmNNQ6ixktBY6mHysL2r7fJ7j1zI3oVClqgOQX0rm5PVxdg11/nL9TknTThBT1jgoynAiegqIH3JKPl1W/vWSQbnxprV5ZeUBzxiSqd1Sw6VgAgK5uzbPSgWVyeAfox5W3qVE23TG5p5IiAkwnAwB0QXPGJOmNNVnadbhM//flHv35ssGmIwFAx3I4pLKc1oWNvB1S4V7J0djGCyzOORvRg6TowUeLHGFJEicOOtyrqw5of0GlIoN8dPd5fUzHgQeh6AG3dVbf7jpvQJQW7srXHz7ZqVdvGcMROACAOfm7pIW/lyR9k3yPVm/vppgQP915di+zuQAAXZbNatHvLxmoq59frbfWZum6sUkaFBdqOhYAtI+6Kqlgl3PexrHtqWpK2r7fL0yKGdz6BEf3AZIPG5RMKCiv1T8X7pMk/Xx6P4X40boe7YeiB9zaby4aqKV7C7VsX6EW7srX+QOjTUcCAHRFDXXSB7dKjbWqSTlXc/cMlWTXgxf2V4APyy0AgDlje0bo4iGxmr/1sP7w8U69c/s4NosBcC92u1Sa1bqwkbdDKkqX5DjxfotNiuzbeu5G9CApOJbTGy7kr1/sVnltg4YkhOqqkYmm48DD8BQOt5YSGagfTu6hZxan6+H5OzW5T6T8vBkeBQDoZIsflXK3Sf7h+qPtTlXX12p0SjfNHBpnOhkAAPrVhQO0cFee1h4o1idbD/P3EwDXVVMm5e88brj4TqmuvO37A6Naz92IHiR17yd5+XZubpySLdklenfDQUnS7y4ZJKuVYhTaF0UPuL25Z/fW+xsOKqu4Si8u26+7zqEHIACgE2WtllY8IUnaO+ZPevOLWlkszsU7O2kBAK4gLsxfd5zVW/9YuFd/XrBL5/aPUqAvbwcAMMjeKBVnHFfc2CaVZLV9v81H6t7/aGGj+QqK6tzcOGN2u0O/+3iHHA7psuHxGpnczXQkeCBWOXB7Qb5e+vVFA3TP25v11DdpmjU8Xgnd6McIAOgEteXSvNslh132IXP0k82Jkso1Z0ySUuPpmQ4AcB23n9VT723MVnZxtf61KE2/vKC/6UgAuoqq4hNbU+Xvkhqq274/JP7E0xsRvSUbMx88wbsbsrU5u0RBvl78XYQOQ9EDHmHm0Di9uSZLazKK9fD8nXruB6NMRwIAdAVf/Eo6ckAKTdJr3e7QnrUH1S3AW7+Y3s90MgAAWvHztun3lwzSD19ZrxeX7deVI+PVOyrYdCwAnqSxXipKa13cyN0ulee0fb+XvxQ9sHVxI2qgFBDeubnRaUqq6vSXz3ZLku49r4+iQ/wMJ4KnougBj2CxWPTHS1N14ZPL9MWOPH2zJ19n9+OIIwCgA+3+VNr4qiSLiqf9U3/9X64k6YEZ/RUW4GM2GwAAbTh3QLTO7R+lr3fn63cf79DrPxxLK0YAp6ci/7jWVNulgj1SY13b94clH9eaKlUK7yFZmcvalfz1iz06UlWvvtFBunFCiuk48GAUPeAx+sUE6+YJKXpxeYZ+//EOjb83gqHmAICOUVEgfXK38+MJd+kP27qpojZHQxPDNHtUotlsAAB8h99dMkjL0gq1Iq1IC7Yd1sVDGGoO4Ds01DqLGS0FjqYfKwvavt8nuPXMjehUKWqA5BfSubnhcrYeLNGba50zW/54aaq8bVbDieDJKHrAo9xzXh99vCVHmUVVemHpfv3kXIaaAwDamcMhfXKP80EvapBWp9ypjxZtksUi/enSVFmt7JgFALiupIgA3Tm1l55YuE8Pz9+pqf2iFMRQcwAOh1SW07qwkbdDKtwrORrbeIFFiujVujVVdKoUliRxggzHsdsdeujD7XI4pFnD4jSuZ4TpSPBwrGzgUYL9vE8Yap4YzlBzAEA72vS6tGeBZPNR/axn9dDb+yRJ141N0uAEhpcDAFzfj8/qpQ82HlJWcZX+9fU+PXjhANORAHSmuiqpYJdz3sax7alqStq+3y9Mihnc+gRH9wGSD++34OS8sz5bWw6WKsjXS7/i7xx0Aooe8Dgzh8bprbVZWr2/WH+cv1Mv3MBQcwBAOynOkD7/pfPjs3+tl9OCtC8/W+GBPvrZNIaXAwDcg5+3Tb+fOVC3vLxe/1meoStHJqhPNEPNAY9jt0ulWa0LG3k7pKJ0SY4T77fYpMi+rVtTxaRKwbGc3sBpO1JZp8c+dw4v/+n5fRXF8HJ0Aooe8DgtQ83/uUxf7czTot15Oqd/tOlYAAB3Z2+UPrxDqquQkiYod9CteuIfyyRJv2R4OQDAzZzTP1rnDYjWwl15+u1HO/TmrQw1B9xaTZmUv/O44eI7pbrytu8PjGpd3IgeJHXvJ3n5dm5ueLzHv9ijkqp69Y8J1o3jk03HQRdB0QMeqW90sG6Z1EPPL92v33+8UxN6RTLUHABwZlY+KWWtcg5nvOxZPfL5XlXWNWp4UpiuHJlgOh0AAKfsd5cM1LJ9BVq1v0ifbD2smUMZag64PHuj8/Rxq+LGNqkkq+37bT7OYsaxczeiB0lBUZ2bG13SluwSvb3u6PByL4aXo5Oc8u+0pUuX6pJLLlFcXJwsFos+/PDDVp93OBz67W9/q9jYWPn7++u8887Tvn372isvcNLuPrePokN8lVVcpeeW7DcdBwDgzg5vlRY94vz4gse0sihQn2zJkdUiPczwcgDH4ZkJ7iIxPEBzz+4tSXpkwU5V1DYYTgSglapiKWOZtPpZ6aO7pOfPlv4cLz01Unr3Rmnp485Zc80Fj5B4qc80adJPpSv+I925WvpVjvTj5dJlz0oTfiL1OpuCBzpFo92hhz5yDi+/fHi8xvQINx0JXcgpn/SorKzU0KFDdcstt+jyyy8/4fOPP/64nnzySb3yyivq0aOHHnroIU2fPl07d+6Unx8929B5gny99JuLBuonb23S04vTdOmwOKVEBpqOBQBwN/U10ge3SfZ6qf/Fqk29Wr/553JJ0nVjk5Uaz/ByAK3xzAR3ctuUnnp/40FlFlXp71/u1W8vGWg6EtD1NNZLRWlH5240Dxgvz2n7fi9/KWqA88RG84DxqIFSAG8qw3W8uSZTWw+WKtjXS7+8sL/pOOhiTrnoccEFF+iCCy5o83MOh0NPPPGEfvOb3+jSSy+VJL366quKjo7Whx9+qGuuueaE19TW1qq2trbln8vKyk41EvCtLh4Sq3fWZWt5WqEe+mi7Xr1lDH1qAQCnZtHDUsEuZ9/jS/6pZ5dkaH9hpSKDfPWz6QwvB3Ci9n5mknhuQsfx87bpj5em6saX1urllRm6fEQ8BX2gI1XkH9eaartUsEdqrGv7/rDkY1pTNbWnCu8hWWnhDdeVX1ajxz/fI0n62fR+igpmUwc6V7vO9MjIyFBubq7OO++8lp8LDQ3V2LFjtWrVqjYX8I8++qj+8Ic/tGcMoIXFYtGfZqVq2hNLtWxfoT7ekqNLh8WbjgUAcBcZS6VVTzs/nvkvZVT76+nF6yRJD108QKH+3gbDAXBHp/PMJPHchI51Vt/uunhIrOZvPaxfzdumeXdOlI3WjcCZaah1FjNaChxNP1YWtH2/T/AxhY2m4kbUAMkvpHNzA+3gj/N3qry2QUMSQnX9OIaXo/O1a9EjNzdXkhQdHd3q56Ojo1s+d7wHH3xQ9913X8s/l5WVKTExsT1joYtLiQzUXWf31t+/2quH5+/S1H5RvEkFAPh+NaXSvDskOaSRN8nRd7p+8581qmuwa3KfSIa9Ajgtp/PMJPHchI7324sHasmeAm09WKrXV2fqxgkppiMB7sHhkMpyWhc28nZIhXslR2MbL7BIEb1aDxWPHiSFJklWhjzD/S3ZW6D5Ww/LapH+fNlgiugwol2LHqfD19dXvr6+pmPAw91+Vk99uPmQ9hdU6vHPd+uRywabjgQAcHWf/kIqOyh16yFNe0Qfbc7RirQi+XpZ9adZqbRLBNCpeG5CR4sK8dMvZvTTQx/t0F+/2KMZqTGKDqEdCdBKXZWz7Wnuce2pakravt8v7OjMjear+wDJJ6AzUwOdpqa+UQ99uF2SdNOEHrRLhDHtWvSIiYmRJOXl5Sk2Nrbl5/Py8jRs2LD2/KWAU+LrZdMjswZrzgur9ebaLF0xMkEjkrqZjgUAcFU7PpS2vi1ZrNLlz6u00Vd/WrBTkvSTc3orOSLQbD4AbotnJriya8cm672Nh7Qlu0R//GSnnr5uhOlIgBl2u1Sa1bqwkbdDKkqX5DjxfotNiuzbujVV9CApJE5iowy6kH8t2qes4irFhvrpvml9TcdBF9auRY8ePXooJiZGX3/9dcuCvaysTGvWrNEdd9zRnr8UcMrG94rQFSMS9P7Gg/rVB9v0yU8mydvG0VEAwHHKc6X59zo/nnSflDhGf/lgmwor6tQ7Kki3TellNB4A98YzE1yZzWrRny9L1cynVmjBtsO6ck++zu4XZToW0LFqyqT8nccNF98p1ZW3fX9g92PaUjX92L2f5MVpPHRt+/LK9fzS/ZKk310ySEG+xhsMoQs75d99FRUVSktLa/nnjIwMbd68WeHh4UpKStK9996rP/3pT+rTp4969Oihhx56SHFxcZo1a1Z75gZOy68vGqCvd+dpd265/rsigzeuAACtORzSR3Ol6iNS7FDprAe0IbNYb63NkiQ9MitVPl4UzAF8N56Z4M4GxYXq5gkpenF5hh76cLu++ulZ8vexmY4FnDl7o1SccVxxY5tUktX2/TYfZzHj2Lkb0alSEIVA4Hh2u0O/nrdd9Y0OnTcgStMHRX//i4AOdMpFj/Xr1+vss89u+efmYXo33nijXn75Zf3iF79QZWWlbrvtNpWUlGjSpEn6/PPP5edHL1CYFx7oo19dMEC/eH+r/vHVPl00JE7xYf6mYwEAXMX6/0hpCyUvP+my51Vv8dKv5zl70l41MkFje0YYDgjAHfDMBHf30/P76tNth3XwSLWeXLRPD8zobzoScGqqik9sTZW/S2qobvv+kPgTW1NF9JZs3p2bG3BT7208qLUHiuXvbdPvZw5i/iGMszgcjjaaEZpTVlam0NBQlZaWKiQkxHQceCCHw6Grn1uttQeKdd6AaL144yjTkQAArqAwTXp2kvNheMZfpHF36Lkl6Xr0s93qFuCtr++fqvBAH9Mp4aFYA+NU8XsGHe3LHbm67bUN8rJatODuyeoXE2w6EnCixnqpKO1ocaN5wHh5Ttv3e/lLUQNaFzeiB0kB4Z2bG/AgxZV1Ovdvi3Wkql6/urA/XVXQYU5l/UtzNXQ5FotFj1yWqgufXKaFu/L0+fbDmpEa+/0vBAB4rsYGad5tzoJHj7OkMbcru7hKTyzcJ0n61YUDKHgAALqUaYNidP7AaH21M0+/mrdN794+XlYrO3dhUEX+ca2ptksFe6TGurbvD0s+sTVVeA/JSrs2oD09smCXjlTVq39MsG6e2MN0HEASRQ90UX2ig3X7lF566ps0/fajHRrfK1Kh/hxbBYAua9nfpEMbJL9QadYzclgs+tW8baqub9S4nuG6cmSC6YQAAHS6P8wcpJVphdqQeUSvr8nUDeNTTEdCV9BQ6yxmtBQ4mn6sLGj7fp+gYwobg6Towc7THH6cggM62tK9BXp/40FZLNKfLx8sbxvzD+EaKHqgy7rrnN76dPth7S+o1F8+26VHLx9iOhIAwIRDG6Qljzk/vujvUmi8PthwUMv2FcrHy6pHLx9CT1oAQJcUF+avX8zor999vEOPfbZb5w2IVhwzEdFeHA6pLKd1YSNvh1S4V3I0tvECixTR68TWVKFJkpU3WoHOVlXXoF/N2yZJunF8ikYkdTOcCDiKoge6LD9vm/5y+RDNfm6V3lqbrZlD4zW+FwNqAaBLqauSPrjN+WA96HJp8JUqrKjVwwt2SpLuPa+PekQGGg4JAIA5PxiXrI82H9LGrBI99OF2vXjjKDYD4NTVVUr5u09sT1VT0vb9fmFHCxsxTT927y/5sC4DXMXfv9yrg0eqFR/mr59P72c6DtAKRQ90aWN6hOu6sUl6Y02WfjVvmz67Z7L8vOnvCQBdxle/dQ6/DI6VLvqbJOmPn+xUSVW9BsaG6NbJPQ0HBADALKvVoseuGKILn1ymr3fna/7Ww7pkaJzpWHBVdrtUmtW6sJG3QypKl+Q48X6LTYrs23ruRvQgKSROorgGuKwt2SV6aUWGJOlPl6Uq0Je3mOFa+B2JLu+BC/pr4a48ZRRW6p9f79MDM/qbjgQA6AxpC6V1Lzg/nvVvKSBci3bn6eMtObJapMeuGEJPWgAA5JyJOPfs3npi4T79/uMdmtQ7Ut0CfUzHgmk1ZVL+zuNOb+yU6srbvj8gsunURurR4kb3fpKXb+fmBnBG6hvteuD9rbI7pFnD4nR2vyjTkYATUPRAlxfi562HL03Vba9t0PNL9+viIbEaFBdqOhYAoCNVFUsfznV+POZ2qdc5qqht0K/nbZck/WhyTw1O4O8CAACa3TG1lxZsPax9+RX604Jd+tvsoaYjobPYG6XijOOKG9ukkqy277f5OIsZx87diE6VgnhjFPAEzy/dr9255eoW4K2HLh5oOg7QJooegKRpg2J00eBYLdh2WL98f5vm3TlBXuzuBQDP5HBI838qVeQ62ymc93tJ0l8/363DpTVKCg/QT8/razYjAAAuxtfLpr9cMURXPrtS7288qFnD4zS5T3fTsdDeqopPbE2Vv0tqqG77/uC4Y+ZuNBU5InpLNu/OzQ2gU6QXVOifX++TJP3ukkGKCOKkFlwTRQ+gye9mDtSyfQXadqhUL63I0G1TepmOBADoCNvelXZ+KFm9pMuek3wCtCGzWK+uzpQk/fmywfL3Yb4TAADHG5ncTTeOT9HLKw/owQ+26cufTlGAD28ruKXGeudcs+biRm5TgaM8p+37vfylqAGt525ED5ICwjs3NwBj7HaHHnx/m+oa7Dqrb3ddOoz5TnBdrE6AJlHBfvrNRQP1i/e36u9f7dX0QTFKjgg0HQsA0J5KD0oLfub8+KwHpPgRqm1o1APvb5PDIV01MkGT+kSazQgAgAv72fR++nJHrg4eqdbfv9yr39DaxPVV5B/Xmmq7VLBHaqxr+/6wpNZzN6JTpfAekpVNIUBX9ta6LK09UKwAH5seuSxVFovFdCTgW1H0AI5x1agEfbj5kFamF+nBD7bpjR+N5Q9xAPAUdrv04R1SbakUP0qadJ8k6elFaUrLr1BkkI9+fdEAwyEBAHBtQb5eeuTywbr5v+v00ooMXTw0TsMSw0zHgiQ11DqLGS0FjqYfKwvavt8n6JiZG03FjagBkh9zzQC0dri0Wn/5dLck6efT+ymhW4DhRMB3o+gBHMNisejRywdr+hNLtTK9SG+uzdJ1Y5NNxwIAtIc1z0oZSyXvAOny5yWbl7YfKtW/F6dLkn4/c5DCAnwMhwQAwPWd3S9Ks4bF6cPNOfr5u1v0yU8myc+bUwCdxuGQynJaFzbydkiFeyVHYxsvsEgRvU5sTRWaJFmZZQnguzkcDj34wTaV1zZoeFKYbhifYjoS8L0oegDHSY4I1C+m99cf5+/Unxfs0ll9u1PBBgB3l79LWvh758fT/iRF9FJdg10/f2+rGuwOXZAao4sGxxqNCACAO/ndJYO0PK1Q+/Ir9OTX+/SLGf1NR/JMdZVS/u4T21PVlLR9v19Y68JGdKoU1V/yoXUzgNPz3oaDWrynQD5eVv31yiGyWemIAtdH0QNow00TUvTZ9sNad+CIfvn+Nr32wzG0uQIAd9VQJ31wm9RYK/U+Xxp1iyTp34vTtOtwmboFeOuPl9KTFgCAU9Et0Ed/mjVYP359g55bul8zUmM0JCHMdCz3ZbdLpVmtCxt5O6SidEmOE++32KTIvq2LG9GDpJA4iTUNgHaSW1qjP87fKUm67/y+6h0VbDgRcHIoegBtsFotevzKoZrxxFItTyvU2+uyNWdMkulYAIDTseQvUu5WyT9cuvQpyWLRzpwyPbUoTZL0h0tT1T3Y13BIAADcz4zUGF0yNE6fbMnRz9/dqo9/MlG+XrS5+l41ZVL+zuNOb+yU6srbvj8gUopJbX2CI7Kf5O3XubkBdCkOh0O/mrdN5TUNGpoYph9N6mE6EnDSKHoA36JHZKB+Pr2f/rRglx5ZsEtT+nZXfJi/6VgAgFORtVpa/g/nx5f8UwqOUX2jXT97d4sa7A5NHxStS4bQ1goAgNP1h5mDtDKtUHvyyvXUojTdP62f6Uiuw94oFWccV9zYJpVktX2/zUfq3u/E9lRBUZ2bGwAkfbDxkBbtzpePzar/u3KIvGzMAIL7oOgBfIebJ/bQp9sOa2NWiX75/la9egttrgDAbdSWS/Nulxx2aegcaeBMSdIzi9O183CZwgK89fAs2loBAHAmwgN99PCsVN35xkb9e3G6pg+KUWp8qOlYna+q+MTWVPm7pIbqtu8Pjmtd2IhJlSJ6Szbvzs0NAG3IK6vRHz7ZIUm657w+6hNNWyu4F4oewHewWS3661VDdcE/l2nZvkK9u/6gZo9ONB0LAHAyvvi1dOSAFJooXfCYJGl3bpn+tWifJOfO1Khg2kIAAHCmLhwcq4sGx2rBtsP62btb9PFdk+Tj5aE7ghvrpaI0Z1Ejd9vRQkd5Ttv3e/lLUQNaz92IHiQFhHdubgA4SQ6HQ7+et01lNQ0aHB+q26f0NB0JOGUUPYDv0at7kH42ra/+/OluPTx/pyb3jVRsKG2uAMCl7flM2viKJIt02bOSX2hLW6v6RofOHxitmUPjTKcEAMBj/OHSQVq1v0i7c8v11Ddpuu/8vqYjnbmK/ONaU22XCvZIjXVt3x+WdFxrqsFSeA/JypwTAO7jo805WrgrX942i/7vqqG0tYJbougBnIQfTuqpz7bnalNWiR78YJv+e9No2qEAgKuqKJA+/onz4wl3SSmTJEnPL92v7YfKFOrvrUdoawUAQLuKDPLVHy8dpLve3KR/f5Om6YOiNSjOTdpcNdQ6ixktBY6mHysL2r7fJ+iYwkbTCY6oAZKfm3y/APAt8str9LuPm9pandtH/WJoawX3RNEDOAk2q0V/vXKILnxyuRbvKdA767J1zZgk07EAAMdzOKRP7nG+SRE1SDrnIUnSrsNlemLhXknS72cOVFQIba0AAGhvFw2O1YLUw/pse67u/98WfXTXRPl6udApB4dDKstpXdjI2yEV7pUcjW28wCKF92w9dyN6kBSaJFnZ+QzAszgcDv3qg20qra5XanyIbj+rl+lIwGmj6AGcpN5Rwbr//L569DNnm6uJvSOVGB5gOhYA4FibXpf2LJCs3tLlz0levqptaNRP39ms+kaHzhsQrVnD4k2nBADAI1ksFj08K1VrMoq1O7dcTyzcpwdm9DcTpq5Syt99YnuqmpK27/cLO641VaoU1V/yCezM1ABgzLvrD2rhrnz52Kz6v6uGypu2VnBjFD2AU/CjyT21cFee1h04ovv/t0Vv3TZONivtUQDAJRw5IH3+S+fH5/xGihksSXpi4T7tzi1XeKCPHr18MG2tAADoQJFBvvrzZYP149c36Lkl6Tq3f5RGpXTg0G67XSrNal3YyNshFaVLcpx4v8UmRfY5psDR9GNInMQaAUAXlV1cpT984mxrdd+0vuofE2I4EXBmKHoAp8BmtehvVw3TjH8u1doDxXppeYZundLTdCwAgL1Rmvdjqa5CSpogTXDO9NiQWaznlqRLkv582WB1D/Y1mRIAgC5hRmqMLh8Rrw82HtL9727Rp3dPVqBvO7z9UFMm5e887vTGTqmuvO37AyKbWlIdc4Ijsp/kTZtLAGhmtzt0/7tbVFnXqFHJ3XTrZN7ngvuj6AGcoqSIAD108UA9+ME2/fWLPZrStzuDnQDAtJVPSlmrJJ9g6bJnJatNlbUNuu9/W2R3SJePiNeM1BjTKQEA6DJ+d8kgrU4vUmZRlf786S49ctngk3+xvVEqzjiuuLFNKslq+36bj9S934ntqYKi2uebAQAP9tKKDK3NKFaAj01/mz2UjibwCBQ9gNNwzehEfbUzT4t25+u+/23WvDsnyseLXocAYMThrdKiR5wfX/AXqVuyJOnRz3Yps6hKcaF++t0lgwwGBACg6wn199Zfrxqq615cozfWZOm8gdE6u18bRYiq4hNbU+Xvkhqq2/7CwXGtCxvRg5ztqmzeHfsNAYAH2ptXrse/2CNJ+s1FA5UcwRwjeAaKHsBpsFgs+ssVgzX9H0u1I6dM/1q0T/dP62c6FgB0PfU10rzbJXu91P9iadh1kqQlewv0+mrnbtC/XjVUof68EQIAQGeb2DtSN09M0X9XHNCv3t2oL26IU0jpXil329FCR3lO2y/28peiBrQubkQPkgI6cD4IAHQhdQ12/fSdzaprsOvsft01Z0yi6UhAu6HoAZymqGA/PXLZYN35xkY9/U2azu4fpRFJ3UzHAoCuZdHDzt7egd2lS/4pWSwqqarTL97bIkm6aUKKJvaONBwSAICu64EZ/bV79049WXGfQl4qa/umgEgpcUzrExzhPSWrrXPDAkAX8tSifdqRU6awAG89dsUQWSy0tYLnoB8PcAYuHByrWcPiZHdI9/9vi6rrGk1HAoCuI2OptOpp58czn5ICncWN3360Q3llterZPVAPzOhvMCAAAPDztum3F/aVn+q//aaqQungeunAcmnfQmnXx9KuT5wnQmorOi8sAHQRm7KO6OnF6ZKkR2YNVlSIn+FEQPvipAdwhv4wM1Wr9xcro7BSj362S3+8NNV0JADwfDWl0rw7JDmkETdK/WZIkj7ZkqOPt+TIZrXo77OHyd+HHaIAAJg2YNBQ/Wv8F/p8yTIN8i3QQxP8FFyZJRWnS0XpzqJHZb7zylp14hcIipEiejlPf0T0ksJ7OX/s1kPyCej8bwgA3FhVXYPu/98WNdodunRYnC4aEms6EtDuKHoAZyg0wFt/vWqIfvCftXp1VabO7hels/u3MaAPANB+PntAKjsodUuRpv9ZknSopFq/mrdNkjT37N4alhhmLh8AAGjlx+cP1ldp5frfwVIdyorQa7eMldXa1EqlptRZ/Cje77yK0o8WRKqLpYpc55W54sQvHBz3LQWRFMnbv1O/RwBwBw/P36X9hZWKCfHTH2eycReeiaIH0A4m9+muWyb20EsrMvTz97bos3umqHuwr+lYAOCZdnwobXlLslily56XfIPUaHfop+9sVnlNg4Ylhukn5/Q2nRIAABzD22bVP64epoufXK4VaUV6cfl+3Tall/OTfqFS/AjndbzqI1LRfmcR5PiCSE2JcxB6eY50YNlxL7RIIfFSRM+jhZBjCyJePK8B6Hq+2JGrt9ZmyWKR/j57qEIDvE1HAjoERQ+gnfxiRj+tTC/U7txy/fy9LfrvTaMZAgUA7a08V5p/r/PjSfdJSWMlSc8uSdfajGIF+tj0z2uGydvG2DIAAFxNr+5B+t0lA/XLD7bpr1/s0YRekUqND/3uF/l3kxJGOq/jVRW3LoIUNxVHivZLtaXOU6FlB51zwFqxSKGJbRdEwpIlL592+54BwFXkldXol+9vlSTdNqWnJvSONJwI6DgUPYB24udt05NzhuuSfy3X4j0FemXlAd00sYfpWADgORwO6aO7nDs+Y4dKZz0gSdqcXaJ/fLVXkvSHS1OVHBFoMiUAAPgOV49O1Dd78vXFjjzd/fYmLfjJ5NOfwRUQ7rwSR7f+eYdDqio6riDSfFJkv1RXLpVmOa/9i1u/1mJtKoj0aqMgkiTZ2BUNwP3Y7Q7d/78tOlJVr9T4EN1/fj/TkYAORdEDaEd9o4P164sG6Lcf7dCfP9ut8b0i1S8m2HQsAPAM61+S0r6SbL7OtlZePqqsbdC9b29Sg92hi4fE6ooR8aZTAgCA72CxWPSXy4doc/ZS7S+o1MMLdurPlw1u719ECox0Xk2nQls4HFJlwbcXROorpZJM55W+6Liva5O6JTvnh7QqiPSUQpMkG2+xAHBN/1meoeVphfLztuqf1wyXjxcn4+HZ+BsZaGc/GJesxXsKtGh3vu5+a5M+umui/LxPc+cSAMCpME368jfOj8//gxTVX5L0+4936EBRleJC/fTIrMG0FQQAwA10C/TR32cP0/X/WaM312TprL7dNX1QTOf84haLFBTlvJLHt/6cwyFV5LVREMlwFkXqq44OW9fC1q+1ejlnhbQqiDQNVw9NlKw8EwIwY/uhUj3+xW5J0m8vHqRe3YMMJwI6HkUPoJ1ZLBY9fuUQzXhiqfbkleuxz3frd5cMMh0LANxXY4M07zbnGw09zpLG3C5JWrD1sN7dcFAWi/SPq4cxhA8AADcysXekbpvcU88t3a9fvr9VwxLDFB3iZzaUxSIFxzivlImtP+dwSOWHT5whUpQuHcmQGmqkojTndTybz3EFkWMKIyEJkpUd1wA6RnVdo+55e5PqGx2aNjBac8Ykmo4EdAqKHkAHiAzy1V+vGqqb/7tO/11xQGf17a6p/aJMxwIA97Tsb9KhDZJfqDTrGclqVU5JtR78wDmE786pvTS2Z4ThkAAA4FTdP62flqcVakdOme7/3xa9essYWa0uemrTYpFC4pxXj8mtP2e3S+U5314QaayTCvc6r+PZfKXwHk0FkZ6tZ4gEx1EQAXBG/rRgp9ILKhUV7Ku/XDGEk/HoMih6AB3k7H5RumlCil5eeUA/e3erPrtnsroH+5qOBQDu5dAGacljzo8v/JsUGq9Gu0M/fWezymoaNDQhVPee19dsRgAAcFp8vJy95S/+1zItTyvUi8v367YpvUzHOnVWqxSa4Lx6ntX6c/ZGqezQMQWR/UcLI0cOSI21UsFu53U8L7+jxZATCiKxzkIMAHyLL3fk6o01WZKkv88epvBAH8OJgM5D0QPoQL+8oL9WpRdpT1657vvfZr1yswvvXAIAV1NXJX1wu+RolAZdLg2+UpL0r0X7tCajWAE+Nj1xzXB529gBCQCAu+odFaSHLh6oX8/brsc/36MxPSI0LDHMdKz2Y7VJYUnOq9fZrT9nb5RKs1ufDGkuiJRkOltm5e90XsfzDmgqhvQ4bqh6LykomoII0MUdKqnWz99znoy/dXIPTeoTaTgR0LkoegAdyM/bpqeuHa5LnlquZfsK9ezSdN05tbfpWADgHhb+Tira59zJeNHfJItFq9KL9OTX+yRJj1yWqh6RgYZDAgCAM3XtmCStSCvUp9ty9ZO3Nmr+TyYr1L8LzOqy2pyzPrqlSDq39ecaG6TSrNYnQ1oKIlnOWWd5253X8XyCjhZDjj8hEtidggjg4eob7br7rU0qra7XkIRQ/Xx6f9ORgE5H0QPoYH2ig/XHman6xftb9bcv92pMSrhGpYSbjgUAri1tobT2eefHs/4tBYSrqKJW97y9SXaHdNXIBF02PMFsRgAA0C4sFosevXyIth4sVXaxc27X09eO6Nq9521eR9ta6bzWn2usl45kOk+HHF8QKc2W6iqk3G3O63g+wUcHqR9fEAmIoCACeIB/fLVXGzKPKNjXS0/NGSEfL07Go+uh6AF0gqtGJWhleqE+3Jyju9/apE/vmaywAHopAkCbqoqlD+c6Px5zm9TrHNntDt3/7hbll9eqd1SQ/nDpILMZAQBAuwr199ZT147Qlc+s1KfbnH3orx+XbDqWa7J5S5G9ndfxGmq/pSCyv6kgUi4d3uK8jucb+h0FETbuAe5g6d4CPbMkXZL06BWDlRQRYDgRYAZFD6ATWCwW/emywdpysFQZhZX62btb9cINI7v2ziUAaIvDIS24T6rIlSL6SOf9QZL0wrL9WrynQL5eVj117XAF+LCEAQDA0wxLDNMDM/rrkU936Y/zd2pEUjcNjAsxHcu9ePlK3fs6r+PV1ziHp7dVECk7KNWWSjmbnNfx/MJaF0HCm4ojET0l/24d/V0BOAn55TW673+b5XBI145N0sVD4kxHAozhHQOgkwT5eulfc4br8n+v1MJdefrvigO6ZVIP07EAwLVse0/aMU+yekmXPy/5BGhj1hH99Ys9kqTfzxyk/jG8+QEAgKf64aQeWrW/SIt25+uutzbqk7smKdCXty7ahbefFNXfeR2vvloqzjiuINI0XL08R6opkQ5tcF7H8w9voyDSdFLEL7TDvy0AUqPdoXvf3qzCijr1jwnWby8eaDoSYBQrB6ATpcaH6tcXDdDvPt6hRz/bpVEp3TQkIcx0LABwDaUHpQX3Oz8+6wEpfoRKq+r1kzc3qcHu0MVDYnXN6ESzGQEAQIeyWi36v6uG6sJ/LtP+gko99NF2/X32MNOxPJ+3vxQ90Hkdr66yqSByTCGk+ceKXKm6WDpYLB1cd+JrAyKPKYj0POaESC/JN7jjvy+gi/j3N2lamV4kf2+bnrp2hPy8baYjAUZR9AA62Q3jk7UyvVBf7MjTXW9u0vy7JynEz9t0LAAwy26XPrzD2VYhfpQ06T45HA498P5WHSqpVnJEgB69fDBtAQEA6ALCA330z2uGac4Lq/XBxkOa0CtSV45MMB2r6/IJlGJSndfxaiuOng4p3u9sldV8UqQyX6oqdF7Za058bWDUcQWRY06J+AZ1/PcFeIi1GcX6x8K9kqSHZ6WqdxT//wAUPYBOZrFY9PgVQ7X90DJlFVfpwfe36alrh/NGHoCube1zUsZSyTvA2dbK5qVXVmTo8x258rZZ9K85wxVMgRgAgC5jbM8I/fS8vvrbV3v10IfbNTQhVH2iORngcnyDpNghzut4NWXfXhCpKnQWRSrzpaxVJ742KOZoq6zmwkhzQcSHwcxAs6KKWt391ibZHdLlI+IpEANNKHoABoQGeOtf1w7X7GdXacG2wxq5ohvzPQB0Xfm7pa9+5/x42p+kiF7amHVEj3y6S5L04AUDaAUIAEAXdOfZvbU6o0gr0or049c36KO7JimI+R7uwy9EihvmvI5XU9q6Tdaxs0Sqi51tsypypcwVJ742OO5bCiI9nG26gC6i0e7Q3W9vUm5ZjXp2D9TDl7ZxGgvoolgtAIaMSOqmX180QH/4ZKf+/OkuDU0M1cjkcNOxAKBzNdRJH9wqNdZKvc+XRt2ioopazX1jo+obHbpoSKxunphiOiUAADDAZrXon9cM18VPLld6QaV++f5W/WsOp+Q9gl+oFD/CeR2v+kjrUyHHzhKpKXEOVi/PkQ4sO+6FFikk/mirrOMLIl6+nfGdAZ3miYV7tSLNOcfj2etHKpCiMNCC/xsAg26akKL1mUe0YOthzX3DOd8jMoiFGIAuZMlfpNytkn+4dOlTanRI976zWYdLnbuVHrtiCG9sAADQhUUG+erp64br6udWa/7WwxqV3E03TeSUvEfz7yYljHRex6sqPloIaVUQ2e+cDVd20HllLD3uhRYpNLHtgki3FMnLpzO+M6DdfLM7X/9alCZJ+ssVg9WX9n9AKxQ9AIMsFoseu2KIdh8uU3pBpe55e5NevWWsbFbe4APQBWStkZb/w/nxJU9IwTH651d7tWxfYctuJVpYAACAkcnhevDCAXp4/k498ukuDUkM04ikbqZjwYSAcOeVOLr1zzscUlXRtxdE6sql0izntX9x69darE0FkV5tFESSJRtz5eBasourdO87myVJPxiXrEuHxZsNBLgg3kkADAvy9dIz14/UpU+t0Iq0Ij2xcK/un9bPdCwA6Fi1FdK82ySHXRo6Rxp4qRbvyde/Fu2TJD16ObuVAADAUbdMTNHGzCNasO2w5r6xUfN/MkkRnJJHM4tFCox0XkljW3/O4ZAqC04siBTtdxZF6iulkkznlb7ouK9rk8KSTiyIRPSUQpMkG2+roXPVNjRq7psbVVpdr6GJYfrNxQNMRwJcEn86Ay6gb3Sw/nLFYN3z9mb9a1GaRiR109n9o0zHAoCO88WvpCMHnLvqLnhMB484dys5HNL145I0azi7lQAAwFEWi0V/uWKwdh0u0/7CSt37zma9fPMYTsnj+1ksUlCU80oe3/pzDodUkfftBZGGaulIhvPSwtavtXpJYcnHFUSahquHJkpWW6d9i+g6/vjJTm09WKqwAG89fe1w+Xrx+wxoC0UPwEVcOixe6w8c0WurM/+fvfsOj6Jc+zj+3U3vISSBBELvvTepigiCChYUlSZiASzHYwHPUbAcOYq+dhEbqIAgWLAcFVCwAdJ77xBISCC9Z3feP5bEbPqGhE35fa5rL7Izs8/ck50s8+w9z3Pz8NLtfPdAXyKCvJ0dlohI+TvwA2z9GDDBqHfJcPVl6qL1xKdm0bF+AE+NaOPsCEVERKQS8vN0Y+6dXRn59p/8fiiW138+xCNXt3B2WFKVmUzgV9f2aHSF/TrDgKSz+RIiFwuqxx2D7PSLU2gdKdiu2c1WKyTvyJCcxIh/fTCbL8vhSfXy1bbTLPrrJCYTvHZrJ+rX0ndGIkVR0kOkEvn3iNbsjExgx6l4pizayrL7euPppqy9iFQjKbHwzQO2n3tPhUZ9ee7rXezIuVvpji66W0lERESK1LKuHy/c2I5/LN3Bm78conODQAa11Ch5qQAmE/iH2x6N+9mvs1oh6UzRCRFLJpw/ZHvk5+KRJyHSxH6kiF+4EiJSqP1Ricz4chcAD1zZnIH63BMplpIeIpWIh6sLb9/emRFv/sGuyAT+/fVu5tzcAZNJQ7ZFpBowDPj2IducyqFt4Mqn+HzTKRZuOAnAq7pbSUREREphVOf6bDkRx8INJ3nos218M60vjYJ9nB2W1CRmMwTUtz2aDLBfZ7VAYmS+qbIuJkbijoMlA2IP2B75uXpCrcZFJETCbIkYqXHiUzO555MtpGdZ6dc8mIeuau7skEQqPSU9RCqZ+rW8eXNMZ8Z/tJHlW07Tvl4A4/s0cnZYIiKXbvsi2P+dbbj/je+x7Wwa//56NwCPXN1Cd2mKiIhIqT01og17zySy9WQ893y6mS+nXIGvh77ikErAfLH4eWADaDrIfp0lGxJP248MyUmIxJ+wTZkVs8/2yM/V62IipEm+oupNwbeOEiLVlMVq8MBn2zh5IZX6tbx447bOqmUkUgq6IhCphPo1D2H6sFa88L/9PPfdXlrV9aNnk9rODktEpOzijsMPT9h+vvLfnPNpzn0f/UGmxcqQNnWYNqiZU8MTERGRqsXD1YW5d3blujf/4GB0Mo8t28E7d3TRKHmp3FxcbVNb1WoEXGW/zpINCSftR4bkJkRO2oqqn9tje+Tn5lN0QsQnRAmRKmzOTwf4/VAsnm5m3hvbjVo+7s4OSaRKUNJDpJKa3K8JuyMT+WbHGaYs2sq3D/QlPNDL2WGJiDjOaoGv7oPMZGjQh8weU5ny4SaiEzNoFurL/93aCbPuVhIREREH1fH3ZO6dXbntvfX8sDuKd9YeYapupJCqysXVlrgIagIMtl9nyYK4E7bRIfkTIgmnICsFonfZHvm5+0FQY/tESM6/3rWVEKnEvtt5hnd/PQLASzd3pE24v5MjEqk6lPQQqaRMJhMv3tSBw+eS2Xs2kXs/3aLC5iJSNa17E06uB3dfGDWXZ77fz+YTcfh5uvLe2K6aikJERETKrGvDWjx7QztmfLmLl1ceoHWYH1e2quPssETKl4sbBDezPfLLzigiIXLUlhDJTIKonbZHfh4BF0eHFDJCxDuo4o9LirT3TCKPLbO9Z/f2b8L1HcOdHJFI1aJvGUQqMS93F+aN7cr1b9kKmz/51S5euaWjhmyLSNURtQt+ed7287AXWXLIzKK/TmIywRu3daZJiK9z4xMREZEqb0yPBuyKTGDxXyd5aMl2vpnWl8YqbC41hasHhLSwPfLLSrdNM3shfw2Ro7baIhkJcGab7ZGfZ+DfSRC7oupNwKtWRR9VjRaXksm9CzeTlmWhX/NgHh/aytkhiVQ5SnqIVHIRQd68dXsXxn20kS+3RtK+XgATr2js7LBEREqWlQ5f3gPWLGg1gi21ruXp9/8C4NEhLRnUSoXLRUREpHzMuq4tB6OS2HwijsmfbObrqSpsLoKbJ4S2sj3yy0qDC8fyJUQu/pt0BtLjIXKL7ZGfV1AhCZGL/3oGVPhhVWfZFisPLtnGqQtpNAjy5s0xKlwuUha6AhCpAq5oFsyMYa14/vt9PP/9PlrW9aNP02BnhyUiUrxfnoNze8EnhHMDX+T+D7eSabEyrF1dpgxs6uzoREREpBpxdzXzzp1duO7NPzh8LplHlm7n3Tu7qm6YSFHcvKBOG9sjv8yUohMiyVGQdgFOX4DTmwq+1js4X0Ikz9RZHn4Vf1xV3EsXC5d7ubnw3riuBHqrcLlIWZgMwzCcHUReiYmJBAQEkJCQgL+/CvSI5DAMg38s3c7X288Q6O3G11OuoJGGbItIZXXsd/j4OsAg45bPuGWNPztPJ9Ciji9fTbkCH915KWJH18DiKJ0zIoXbdjKOW+dtINNiZdqgZjx6TUtnhyRSvWQk56sfcuzvn1POFf9an9A8CZHG9skRD017u2zzKR5bbqvj8dbtnRnRQXU8RPJy5PpX3ziIVBEmk4n/3tSBY7Ep7DidwKSPN/HllCsI8HJzdmgiIvbSE+Dr+wEDo8t4HtlRl52nz1LL2433x3VTwkNEREQqTOcGtZh9Y3v+uWwHb605TLNQX0Z2rufssESqDw9fCOtge+SXnpgnIXLUPjmSGmtLiqScg5PrC77Wt+7f02TlrSES1ATcvSv+uJxs0/ELPPnVLgCmDWqmhIfIJdK3DiJViKebC++P68YNb//JkZgUpi3eyvwJ3XF1MTs7NBGRv/3wBCScglqNeNv9Lr7fGYmbi4l37+xKw9oaoSYiIiIV66au9Tl0Lpl3fz3C41/sJCLIm64NVXhZpMJ5+kN4J9sjv7T4i0mQPNNl5SRE0i7Yps1KjoITfxZ8rV+4fd2QoCZ/jxZx86rgg6p4py6kcu+nW8iyGFzbvi6PXF1IUXoRcYimtxKpgnZHJnDLu+tJy7IwvndDnrmhnbNDEhGx2bsCPh8HJjO/91vI2JW2xS/d1IHR3SOcG5tIJaZrYHGUzhmR4lmtBvct3MLKvdEE+7rz9dQrqF+r+t8tLlIlpcVdHBmSM2VWnhoi6fHFvNAE/vXs64bkTYi4elyuIyizpPQsbpq7joPRybSvF8Dn9/bGy93F2WGJVEqOXP8q6SFSRf24O4r7Fm4B4Lkb2jK2dyPnBiQikhQF7/SGtAtEdZzKgC39yMi2ck//Jjx5bWtnRydSqekaWBylc0akZCkZ2dz87nr2nU2kVV0/lt/fB19NsylStaRe+DsRYvfvUchILOaFJgiIKDwhUqsRuDq/QLjFajDp402sPRBDqJ8H30zrS90AT2eHJVJpqaaHSA0wtF1dHrumJXN+OsCsb/fSONiXvs2DnR2WiNRUhgErpkHaBTJD2jNqjy3hcVWrUJ4Y2srZ0YmIiEgN5OPhygfju3HDW3+yPyqJh5dsZ97YrriYTc4OTURKyzvI9ojobr/cMCD1fNEJkcxkSDhpexxda/9ak/liQqRpIQmRhuByeWqnvvC/faw9EIOnm5kPxndTwkOkHCnpIVKFTRnYlCPnkvlyWyRTFm3hq6lX0DTE19lhiUhNtPkjOLwKw8WDBzLu52yylZZ1/Hh9TGd9sSAiIiJOUy/Qi/fHdeXW9zawel80L/20nxnDNAJVpMozmcAn2PZo0NN+nWFASkwhCZGLNUWyUiD+hO1x5Jd87bpAYIN8CZGL02UFNgSX8vkq9bONJ/nwj2MAvHJLJzrUDyyXdkXEptyTHrNmzeKZZ56xW9ayZUv2799f3rsSqfFMJhOzb2rPiQupbDkRx6QFm/hyyhUE+Th/mKaI1CCxh2HlvwFYGjiJnyIDqe3jzgfju2kKCRGRQqjPJHJ5dW5Qizk3d+ChJduZ9+tRmgb7qtaYSHVmMoFvqO3RsLf9OsOA5OiiEyLZaRB3zPZgtf1rza62xEeBESJNbIkSc+lqcaw7HMtTX+8G4JGrWzC8Q1g5HLSI5FUh30S0bduW1av//mBwddUXHiIVxcPVhXlju3LDW39y/Hwqkz/ZzKK7e+LppsJXInIZWLLhq3sgK5Wjft2YEdkHdxcz88Z2JSJIxUJFRIqiPpPI5XVDp3ocOZfMG78cZsZXu6gT4MmAFiHODktELjeTCfzq2h6NrrBfZxiQdLbgVFnnj9iSINnpF4usHynYrtnNViskNyGSp5aIf73chMiBqCTu/XQL2VaD6zuG88CVzSr+mEVqoAq5snZ1daVu3boV0bSIFCLY14MFE7tz09x1bDkRxyOfb+etMV0wa0oZEalof/wfRG4hw9WXO2LGY2DmldEd6dYoyNmRiYhUauoziVx+/7i6Bafi0vhqWyRTFm7h8/t60zY8wNlhiUhlYTKBf7jt0bif/TqrFZLOFJ0QsWTC+UO2R34uHlCrEen+jfjrhA8eGVfTulFjXrq5AyaTvrcRqQgVkvQ4dOgQ4eHheHp60rt3b2bPnk2DBg0K3TYjI4OMjIzc54mJiRURkki117yOH++N68a4Dzfyv11RzA7cx7+Gt3F2WCJSnUVugbX/BeDxtPGcpTYzhrXiuo7hTg5MRKTyc6TPBOo3iZQHk8nEizd1ICohnfVHz3PXgk18NeUKwgO9nB2aiFR2ZjME1Lc9mgywLctKg4RIW22QUxvh+O+2f61Z9q+1ZEDsATxjDzAOsPh7MGrczZqhQ6QCmQzDMMqzwR9++IHk5GRatmzJ2bNneeaZZ4iMjGT37t34+fkV2L6w+WwBEhIS8Pf3L8/QRGqEFdsjeWjJdgBmXdeGCVc0dm5AIlI9ZabCvP5w/hDfW3szNXMaY3s14tkb2upuJZEySExMJCAgQNfANYSjfSZQv0mkPCWkZXHz3HUcOpdMyzp+LLu/N/6ebs4OS0QqE6sFkqIg4TQknrb9mxBp/zz1fKmaMryDOZ5Vi4PpAZxzDeOqic8Q3qBpBR+ASPXjSJ+p3JMe+cXHx9OwYUP+7//+j0mTJhVYX9gdSxEREbp4F7kEb685zJyfDmAywbw7uzKkraZOEJFy9r/HYON7nKMWV6e/SPfWTXj3zq64upidHZlIlaSkR81WUp8J1G8SKW+n41IZ9c46YpIyuKJZbeZP6IG7q65jRGoEw4C0uIuJjNOQGAkJp/IkNSIh8QwYlpLbcvP5ewRIQD0IiLDV8Li4zPALY/o3h1m6+RRebi4suacXHSMCK/wQRaojR/pMFV4tLzAwkBYtWnD48OFC13t4eODh4VHRYYjUKFMGNuV0XBqfbTzJg0u28dnkXnRuUMvZYYlIdXH4Z9j4HgD/zLyXhvXr8caYzkp4iIiUUUl9JlC/SaS81a/lzfwJ3Rk9bz1/Hj7P9C938sotHTViVaQ6yEy9mMgoJqmRlVpyO2bXizU+8iY16ts/9wy01QIpwls/H2Lp5lOYTfDGmM5KeIhcJhWe9EhOTubIkSOMHTu2onclIheZTCaeu6EtUQlprDkQw90fb+bLKX1oWNvH2aGJSFWXegHj66mYgAXZQzgW0JOvxnfH273CLylERKot9ZlEnKNdvQDevqOLrb+0NZL6gV48MqSls8MSkeJYsiE56u+ERm5SI8/ztAula8sn5GIS4+IIjfxJDd9QMJe97saXW0/zyqqDAMy6vi1Xt6lT5rZExDHl/g3Fo48+ynXXXUfDhg05c+YMM2fOxMXFhTFjxpT3rkSkGK4uZt66vQu3vree3ZGJjP1wI8vv702on6ezQxORqsowsH73CObksxyxhjHXdRyLJvYgxE93HouIOEJ9JpHKY1DLUJ67oR1PfrWLN345TIi/J2N7NXR2WCI1k2FA6oV8NTRO5UlqRELSGTCsJbfl7vv3tFMFkhr1bA+3ivt+ZM2Bczy+fCcA9/ZvwrjejSpsXyJSULknPU6fPs2YMWM4f/48ISEh9O3blw0bNhASElLeuxKREvh4uPLRhO7cPHc9Jy+kMv6jTSy9t5eK9IlImVh3LsO89yuyDBcet07jrbuuoFmor7PDEhGpctRnEqlcbu/ZgKjEdN74+RBPr9hNLW83RnQId3ZYItVPZootcVFUYfCESMhOK7kds5tt2im7pEZ9++eeAcVOO1WRtpyI4/6FW8i2GtzQKZwnhrZyShwiNVmFFzJ3lIo4ipS/E+dTuGnuemKTM+jROIhP7uqBp1vZh2iKSM1jxJ8i/c3eeFmSeDX7Zjre+QJXttLwbJHyomtgcZTOGZHyZRgG//56N4v+Oombi4mPJnSnX3MlIkVKzZINSWeLqKGRM+1UXOna8gktsjA4AfVt682Vs57gwegkbnl3PQlpWQxoEcL747rh7lo5YxWpaipVIXMRcb6GtX34+K7u3DZvAxuPXWDa4m28e2cXFR0WkdKxWjm94C4iLElstzal4Q1PKeEhIiIi1YrJZOLZG9oRn5bF9zvPcu+nW1g8uRedVHRY5OK0U+cLT2QkRNqSHElnSzftlId/niRGIYXB/euBa9WcPvfUhVTGfvgXCWlZdGkQyNw7uyjhIeIkSnqI1BBtwwP4YHw3xn60kdX7opnx5S5eurkDJicN9xSRqmPrshfoEr+RVMODg1e8wujujZwdkoiIiEi5czGb+L/RHUlIzeKPw7FMnL+RZff10XSeUv1lJBcyOiPP88RIyE4vuR0X94vTTkXkS2zkPL847VQ1FJucwbiPNhKdmEHzUF8+mtAdb3d97SriLPrrE6lBejapzVtjOnPfwi0s23KaIF93Zgxr7eywRKSyMgz2f/kCnfa+DCb4vcnDjL5mkLOjEhEREakwHq4uvDu2K3e8v4EdpxMY9+FfLL+/D+GBXs4OTaRsLFmQeCZPMfDTeZIaF39Ojy9dW751Cx+dkfPcJ6TSTjtVkZIzspk4fxPHYlOoF+jFJ5N6EOjt7uywRGo0JT1Eapghbevy35s68Pjyncz79Si1fdy5p39TZ4clIpWNJZuopQ/S6uAiMMGfQTcyZOx0Z0clIiIiUuF8PVyZP7EHN7+7jqMxKYz7aCOf39ubIB99iSmVjGFASqxtREZRSY2kKKAU5Xw9AvIlMS6O0Mh57hcOrvobyC89y8I9n2xmV2QCQT7ufDqpB2EBSpKKOJuSHiI10OhuEcSlZDL7h/288L/9eLu7cmevhs4OS0Qqi4wkEj4dS93Ta7AaJpYF389N9z+PqQbetSUiIiI1k+3Ly57cPHcdh88lM+6jv1h0dy8CvNycHZrUJBlJhdfQyE1yRIIlo+R2XNwLFgPPm9TwrweexRcFloKyLFamLd7KuiPn8XF34eOJPWgSounwRCoDJT1Eaqh7BzQlPi2LuWuP8O+vd+Pp5sLNXes7OywRcbbEM6R9fDMB5/eQZrgzt/YMptz3EK6uLs6OTEREROSyqhfoxaeTenDrvA3sjkxk4vyNfDqpJz4e+ipFykF2JiSdKSKpcfF5ekIpGjKBX90ikhoXf/YOrpHTTlWkbIuVh5dsZ/W+c3i4mnl/fDfa16+e9UpEqiL9Ty1Sgz1+TUvSMi0sWHecx5fvwMPVzHUdw50dlog4S9Qusj69Ga+UKGIMf14Jfpan7x2Lp5sSHiIiIlIzNQv149NJPRnz/ga2noxn0sebmD+hB17uuj6SYlitkBpbdGHwhNOQHE2ppp3yDCimMHh98AvTtFOXmdVq8PjynXy/6yxuLibmje1Kn6bBzg5LRPJQ0kOkBjOZTMy8rg0Z2RY+23iKh5dux8PVzJC2dZ0dmohcbodWYf18PG5ZKRyy1uOl2s/xf5Ovx9tdlwoiIiJSs7UJ9+eTu3pwxwd/seHoBe5duIX3x3XFQyNha670xOILgydGgiWz5HZcPIovDB5QDzz8Kv54pNQMw+BfX+/my22RuJhNvHV7Fwa2DHV2WCKSj77JEKnhTCYT/xnZnowsK19ui2Ta4m28N66r/tMWqUk2f4Tx/aOYDQt/WtryatBTfDD5Kvw8NWe1iIiICEDHiEDmT+zOuA838tvBGKYt3sY7d3TBzUVTBlU72Zl/JzDyj87IWZ6RWIqGTLZRGEUVBvevDz7BYDJV+CFJ+TAMg2e/28tnG09iMsGrt3biGt00KlIpKekhIpjNJl66uQPp2Rb+tyuKez/dwvyJ3TU8U6S6s1ph9UxY9wYmYFl2fz6s9RCLJvcj0FtD5EVERETy6t4oiA/Gd2Pigk2s2hvNP5Zu5/XbOuNi1pfWVYbVCinn8hUDzzdaIzm6dG151bIfnZE/qeEXBi66iai6MAyDOT8dYP6fxwF46aYOXK/pwUUqLSU9RAQAVxczr93amYysLfy8/xx3f7yZT+7qQbdGQc4OTUQqQlYafHUv7F0BwMtZt/BdwO18PrkPtX09nByciIiISOV0RbNg5t3ZlXs+3cx3O8/i7mpmzs0dlfioLNIT8hQDz5vUyHl+BqxZJbfj6lnE6Iw8z919Kv54pNJ44+fDvLP2CADPjWzHLd0inByRiBRHSQ8RyeXuaubtO7ow+ZPN/H4olnEfbWTBxB70aKzEh0i1khILn90GpzeRiSuPZd7DZv+r+fye3oT6ezo7OhEREZFKbVCrUN4c04Wpi7fy5dZIMGDOLUp8VLjsjHxJjNOQeNr+eWZSye2YzBennaqfpzh4ffukhneQpp2SXK+tPshrqw8B8O/hrRnbq6GTIxKRkpgMwzCcHUReiYmJBAQEkJCQgL+/v7PDEamR0jItTP5kM38cjsXLzYWPJnSnd9Pazg5LRMpDzEFYfAvEHScRX+7O+AeRAV1Yck8vIoK8nR2dSI2la2BxlM4ZEef7fudZHlyyDYvV4IZO4bxyS0dcVeOjbKxW27RSBWpo5ElqpJwrXVteQRdHZkQUntTwCwMX3QMsJTMMg1dXHeSNXw4DMGNYK+4d0NTJUYnUXI5c/+pTXkQK8HJ34YPx3XJHfExcsJGPxnenTzPV+BCp0o7/AUvugPR4Ik11GJv+GJmBTVkyWQkPEREREUcN7xCGixmmLd7Giu1nsBrw6mglPgowjL+nnSq0MPgpSDxbymmnvP6uoZFTDDz3eQT4h2vaKSkXOTU8cqa0+vfw1tzdr4mToxKR0lLSQ0QK5enmwvvjunHfwi2sPRDDxAWb+HB8d/o2V+JDpErasRRWTAVrFrtNLRiX9gi+QXVZek8v6gV6OTs6ERERkSppaLsw3rnDxNTFW/l2xxmsVoPXbuuEW01KfGSl/z3tVGGFwRNOQ2Zyye2YXP6edqqopIZXLU07JRXOMAz+++N+5v16FICnR7Thrr6NnRyViDhC01uJSLEysi3cv3Arv+w/h4ermffGdWNAixBnhyUipWUY8OtLsPYFAH4x9+b+1HsJqx3IZ/f0IixACQ+RykDXwOIonTMilcvqvdFMWbSVTIuVoW3r8saYzri7VoPEh9Vim3aqQGHwPEmNlJjSteVdu/jC4L51Ne2UOJ1hGLzwv328//sxAJ65vi3j+zRyblAiAjh2/aukh4iUKCPbwtRF21i9Lxp3VzPzxnZlUMtQZ4clIiXJzoRvH4IdiwFY6DKSp1JupnGwH4sn96JugIqWi1QWugYWR+mcEal81uw/x70Lt5CZbeXqNnV4+/YulTvxYRiQHp+nEPipgoXCk86ANbvktty8iy8M7h8O7ppOVSo3wzB47rt9fPSnLeHx3Mh2KlouUoko6SEi5S4z28oDn23lpz3RuLmYeP22zlzbPszZYYlIUdLiYemdcPx3DJMLs813817KAJqG+PDZ5F6E+ivhIVKZ6BpYHKVzRqRy+vVgDJM/2UxmtpX+LUJ4984ueLs7afRCVpoteZF4uvDC4AmnISul5HZMLheTF/UKJjZyfta0U1LFWawG//56N59tPAnAC6Pac3vPBk6OSkTyUtJDRCpElsXKP5Zu57udZzGb4L83dmB09whnhyUi+cWdgEW3QOwBLG4+PJD9EP9La0fLOn58encPQv2U8BCpbHQNLI7SOSNSef1xKJbJn2wmLctCt4a1+HBCdwK83Mp3J1YLJEUVnsjIeZ56vnRteQcXMjojz3PfOmB2Kd/4RSqRzGwrj3ye57uOmzowupu+6xCpbBy5/tVkiSJSam4uZl6/rTN+nq58tvEUj3+xk8T0LO7u18TZoYlIjtNb4LNbISWGDO+6jEn+B1szI+gUEciCid0J9HZ3doQiIiIi1Vrf5sEsvLsHE+dvYvOJOMa8t4FPJvUg2NejdA0YBqTF5SsGfipPUiMSEs+AYSm5LTefPAmMnKmm8o7UCAc31XiTmist08L9i7aw9kCMZrUQqUaU9BARh7iYTbwwqj3+nm7M++0oz3+/j8S0LP5xdQtMGs4s4lz7voUvJkN2GomBrRke+wCnsgO5ollt3hvbDR8P/bcvIiIicjl0bRjE0nt7M/bDjew9m8jod9fz6d09qRfoBZmp9gXBC0tqZKWWvBOzqy1p4Z83qVHf/rlnoKadEilCYnoWkxZsYtPxOLzcXHh3bFcGtAhxdlgiUg707YeIOMxkMjF9WCv8vdyY89MB3vjlMInp2Tw9og1msy6oRS47w4AN78BP/wIMour0Z8ipCSRaPbmmbR3eGNMZD1dNSSAiIiJyObUO82fZfb2584O/aHzhN5Je/wcWjzhc0uNK14BPiH0x8PxJDd9QTTslUkbnkzMY99FG9pxJxM/TlQUTu9O1YZCzwxKRcqKkh4iUiclkYuqgZvh7ufH0it0sWHecxLQsXrq5A64uZmeHJ1JzWLLhx+mw6X0ADkSM5tpD12HBhZu61OfFm9rrb1JERETESRoH+7D8/t7sevMNWmUfhfRSvMjVE+q0g8AGtsSGb6itroZP6N/PfYKV8BApozPxadz54V8cjUkh2NedT+7qSZtw1ccSqU6U9BCRSzK2V0P8PFz557IdfLktkrjUTN66vYum0RG5HDKSYfldcOgnDEysbfggEw/0AExM6NNIo69EREREKoGwAC/cp3zECx+9R3rcGeq5JjGymSt1XBIhORqSY2z/WrNsL8hOh8jNtkdxvGvbJ0J861xMiORb5l1bCRKRi/ZHJTLho01EJaZTL9CLTyf1oEmIr7PDEpFyZjIMw3B2EHk5UoVdRCqPn/dFM3XxVtKzrLSvF8BHE7oT4lfKQn0i4rjEs7B4NETtxHD1ZEHdf/HM4aYAPDy4OQ9d1Vx1dkSqEF0Di6N0zohUPUnpWUz+ZDMbjl7A1WzipZs7cGOX+raVhgHp8ZB87mIi5JztkXKukGUxpStinsNkBu/gi0mRkHzJkbzL6thqgJg1Sliqp3WHY7n30y0kZWTTLNSXT+7qQXigl7PDEpFScuT6V0kPESk3207GMenjzVxIySQiyIsFE3vQVHdMiJS/6D2w6BZIjMTqHcwzPk/x8akQXMwmZo9qz+juEc6OUEQcpGtgcZTOGZGqKSPbwqPLdvLtjjMAPHZNS6YMbOrYzSpWK6RdKCQ5kud5zrKUWMCBr33MrheTISUkR3xCwDNARdKlylixPZJHl+0gy2LQo3EQ74/tRoC3m7PDEhEHKOkhIk5zLDaFCfM3cuJ8KoHebnw4vpuKgYmUp8Or4fMJkJlEdlBz7s56nLUxPni7u/D2HV0Y1DLU2RGKSBnoGlgcpXNGpOqyWg1e/Gk/8349CsAdPRvwzPVtK6YOmyUbUmOLSY5E20aOJEdDWikLrOdw8chXcyRPoiT/Mg/dDCfOYRgG7/56lBd/3A/A8A5hvHJLRzzdNOWbSFWjpIeIOFVscgaTPt7MjlPxeLiaef22TgxtF+bssESqvs3z4ft/gmEhNbw3o2Lv50CiK8G+Hsyf0J329QOcHaGIlJGugcVROmdEqr6P1x1n1rd7MAwY3DqUN8Z0xtvdibURszP/ToDk/Ju35kjusnOQkehY227eJSRH8tQhcdN0Q1I+LFaDWd/s4dMNJwCY3K8xM4a1Vt1DkSpKSQ8RcbrUzGwe/Gwbq/edw2SCp0e0YUKfRqoxIFIWViv8/Az8+RoAMU1GMeToLcSlQ5MQHz6e2IOIIG/nxigil0TXwOIonTMi1cOPu6N4aMk2MrKtdKwfwAfjq0htxKy0v+uLFEiO5KtDkpXqWNse/oUUZC8kOeITCq7uFXN8UuWlZmbz0JLtrNobjckETw1vw119Gzs7LBG5BEp6iEilkG2xMvObPSz66yRgG7Y96/q2uFXEsG2R6iorDb6+H/Z8BcDOZlO4cW9fsq3QrWEt3h/XjVo+6uyJVHW6BhZH6ZwRqT62nIjj7o83EZeaRXiAJ++P70bb8Go0gjcjuYiC7HmXXUyYWDIca9szsOgptfLWIfEOBhcnjqKRyyoyPo3JH29m79lE3F3NvH5rJ4a11+wTIlWdkh4iUmkYhsF7vx3lvz/uxzCgV5Mg5t7RVV/SipRGSix8NgZOb8Qwu/F1xHT+caA1ANd1DGfOzR00F61INaFrYHGUzhmR6uVYbAqTFmziaGwKXm4uvHprx5o3RbBh2KbNKjQ5UkiRdmu2A42bwLu2fSKksOSIT6htO7Nu1KuqtpyI495PtxCbnEGwrzvzxnZVnVGRakJJDxGpdFbvjeahJdtIybTQsLY3H47vRrNQP2eHJVJ5xR6GRTdD3DEMjwBe8P8375+qB8A/r27BtCubabo4kWpE18DiKJ0zItVPQmoW0z7byu+HYgF4dEgLpg7SNV+hrFZIjy9dciQlBgxr6ds2uVxMiITkm1Krjv3UWr6h4FUL9P5UGl9uPc30L3aRabHSqq4fH4zvRv1amgZYpLpQ0kNEKqX9UYnc/fFmTsel4efhypu3d2Zgy1BnhyVS+ZxYB0tuh7Q4svwbMDn7cdZeCMLLzYX/G91RQ7NFqiFdA4ujdM6IVE/ZFivPf7+PBeuOA3B9x3Be0ujeS2O1QOqFv2uP5C3InjOqJGdZ6nnH2ja7FUyEFEiOXHzu4acESQWxWg1e+ukA7/56BIAhberw6q2d8PHQlGYi1YmSHiJSaZ1PzuD+hVvZePwCZhP8a3gb7rpCBc5Fcu1cBiumgCWTpOBOXB87jWPp3oQFePL+uG60q1eN5ncWkVy6BhZH6ZwRqd4W/XWCmSv2kG016BgRyPtjuxLq7+nssKo/S5ZtitmSkiPJ52wjTRzh6lkwEVJYcsQ3FNx9KuTwqqPkjGweXrKd1fuiAZgysCmPDmmJ2azvGESqGyU9RKRSy8y28u+vd/H55tMA3Ni5Hv8Z1R4vd929JDWYYcBvL8Oa5wE4FnIlIyLHkWJ1p1NEIO+N60qonzq6ItWVroHFUTpnRKq/dUdiuX/hVhLSsgj18+CdO7rQrZFqE1Qa2Rn5CrLnTY7kW5aZ5Fjb7r55ao4UU6TdJxTcam4f4UhMMvd9uoVD55JxdzXz0k0dGNm5nrPDEpEKoqSHiFR6hmHw4R/HmP3DfixWg1Z1/Zg3tisNa+uOFqmBLFnw7cOwfSEAqwJHc0/U9RiYGdW5HrNvbK8pDUSqOV0Di6N0zojUDMdjU5j8yWYOnUvG1WziX8NbM6GPRspXOZmp+RIh0YUkTC4uy05zrG2PgDzTauUv0p4vYeLiVjHH5wQ/7j7Lo8t2kpyRTaifB++O7UqXBrWcHZaIVCAlPUSkylh/5DwPfLaV2ORM/DxdeXV0Jwa3qePssEQun7R4+HwcHPsVw2Tmdfd7eC2hP24uJp4a0YaxvRqqUytSA+gaWBylc0ak5kjJyOaJL3by3c6zgK3Ox39vao+3u+oVVDuGAZnJRSRHoiE5xn6ZJdOx9r2C8iVCQu2n2cpZ5hMM5sp501W2xcqclQeY9+tRAHo0DuKt2ztrVLxIDaCkh4hUKVEJ6UxdvJUtJ+IAmDaoGf+4ugUumoNTqrv4k7DoFojZT7aLN9OyHuTHzA7U9ffk7Tu60LWh7lQSqSl0DSyO0jkjUrMYhsFHfx5n9v/2kW01aFHHl3fv7EqTEF9nhybOYhi2uiK5iZC8NUfyLzsHhqX0bZvM4F3779EiPvkSI3nrkHjVArO5wg4zr5ikDB78bBvrj9oKzt/dtzFPDGuFm8vl2b+IOJeSHiJS5WRmW3nhf/tYsO44AP2aB/P6bZ0J8nF3bmAiFSVyKyy+FVLOkegWzG3Jj7DXaETvJrV58/bOBPt6ODtCEbmMdA0sjtI5I1IzbTx2gamLtxKTlIGvhysv39KRoe3qOjssqeysVkiLKyQ5ci7fNFvRtkLuOPBVodn14nRaeQuyhxRMjviGgGcglHEU+5YTcUxdtJWoxHS83V2Yc3NHhncIK1NbIlI1KekhIlXWiu2RTP9iF2lZFsICPHn11k70alLb2WGJlK/938MXd0NWKsddG3Nb8iNEUZv7BjTl0SEtcNWdSiI1jq6BxVE6Z0RqrnOJ6UxbvI2Nxy8AMPGKRkwf1goP18o5HZFUMZZsSD2fZ0qtc/mSI3mWpV1wrG0X93w1R/IUZs9fh8TdF0wmrFaD938/ypyfDpBtNWga4sO8sV1pFupXMccvIpWWkh4iUqUdiEri/oVbOBqbgtkE065szoNXNtMXwVI9bJgLP84ADP6gE/elT8Pk4c8c3aUnUqPpGlgcpXNGpGbLslh58Yf9fPDHMQDahPnz5u2daarpruRyys6E1Nh8yZFCRpIkn4OMBMfadvPG4h3M0TRf5qf0ZrHlKoa3D+PFmzvg66F6NiI1kZIeIlLlpWRkM+ubPSzbchqAbg1r8dptnahfy9vJkYmUkdViS3ZsnAfAouyreDp7Ah0a1OaN2zoTEaRzW6Qm0zWwOErnjIgA/LwvmseW7+RCSiZebi48c0NbbulaH1MZpxASKRNLtm36rLQLkHrB/t+0ONvPSWchZr+trqGDDhr12TL8B27rHqFzW6QGU9JDRKqNFdsj+ddXu0nOyMbf05UXb+rAsPaat1OqmMwUWD4JDv4AwAtZY3jfOoKpA5vz0ODmKrwnIroGFofpnBGRHNGJ6fxj6XbWHbEVd76uYzj/GdUOf083J0cmVY5hQEZSvqRFfMFEht2/8Y6P4sjLxR28gsA7CLyCsHrVYsd5MxvOWokzfPH0D2HUTXfQuFmr8jpKEamilPQQkWrl5PlUHliyjR2n4gEY06MBT41ojbe7hrRKFZAUhbF4NKazO0g33PhH1hS2+vbn1Vs70adpsLOjE5FKQtfA4iidMyKSl8VqMO+3I7yy8iAWq0H9Wl68fltnujas5ezQxFmyM+1HWhSatIjLN0IjDqxZZd+nZ2Bu8gKvWn//7F3Ec68gcPfJLW5+NCaZh5ZsZ1ekLYkyvndDZlzbGk831asRESU9RKQayrJYeWXlQd799QgADWt78/ItHeneKMjJkYkUI3oP2Z/ejGvyGc4bfkzO/Ce1WvZlzi0dCfJxd3Z0IlKJ6BpYHKVzRkQKs/VkHA9+to3TcWmYTTC5fxP+MbiFvjSuygwD0hPyJCnyJy/yL7v4PDO57Pt09cqTpMifrMiXtMhNcgSCuWznmdVqMH/dcV76cT8Z2VYCvd146aYODGmrmoci8jclPUSk2vrjUCyPLd/B2YR0TCaYdEVjHr2mpS7ipdIxDv9C1pKxuGcnc8Qaxn3GE9w5bBDjejfUPLQiUoCugcVROmdEpCiJ6VnMWrGHL7dFAtA81Jf/G92J9vUDnByZkJVeQtKikFEZafFgWMq2P5PZfvSF3b+BhSy7+K+bVzkedPFOnk/l0eU72HjsAgB9mwUz55YOhAVcvhhEpGpQ0kNEqrXE9Cye+3ZvbpHzJiE+vHJLRzo30NBtqRzi//wQ31WP4YqFv6yteKfOs8y6tS+Ng32cHZqIVFK6BhZH6ZwRkZKs3BPFk1/tIjY5ExeziakDmzLtyua4u6qe3CWzWmyjL/IX6y6ykPfFxEZWatn36eaTb+RFraKTFl61bA/PQDBXzvfbMAwW/nWS2f/bR2qmBW93F568tjV39Gygm8REpFBKeohIjfDzvmhmfLmLc0kZmE1w74CmPDy4OR6uGvUhzmFYLRxY/AStDr8PwAprX2KvfIUJ/VviYtaFu4gUTdfA4iidMyJSGhdSMnlqxW6+33kWgDZh/rwyuiOtw/S5AdimjspKLSJpEVf0FFJp8UAZv04zuRSRtMg/XVS+aaVcPcrzyJ0qMj6NJ5bv5I/DsQD0bBzEnJs70qC2t5MjE5HKTEkPEakx4lMzmfXNHr7efgaAZqG+/GdkO3o2qe3kyKSmid7zOxe++RetM3YAsNTrNrpOmEOzOvq/TERKpmtgcZTOGRFxxHc7z/DU17uJS83C1Wzi3gFNeODK5tVrmmBLNqTHFzHiopgppCwZZd+nu1/BZEWhSYs823j45xburmksVoNP1h/nlZUHSc7IxtPNzOPXtGJCn0aYdZOYiJRASQ8RqXF+3B3Fv7+2Dd0GGN2tPjOGtaaWikVLBcuK3EHkF0/S6MIfAGQarvzW8l8MvPVhXF0q51ByEal8dA0sjtI5IyKOiknK4F9f7WLl3mgAGgR58/zIdvRvEeLkyPIxDFsR7gJJixKmkEpPKPs+zW6FTw9V6NRRF//1DARX9TdLa3dkAk9+tYudp23vU5cGgbx8S0eahPg6OTIRqSqU9BCRGikhNYv//rifzzaeBCDIx51/XduaG7vU05ygUv5iDnLh+5kEHf8fANmGmd98rqbpTc/SsGkrJwcnIlWNroHFUTpnRKQsDMPgpz3RzPpmD1GJ6QBc3zGcf49oTaifZ/nv0JJV+PRQJSU0rFll36dnQOHTQ+VNaOSfXsrdt8aOvqhoyRnZ/N/KgyxYdwyrAX6erjwxtBW392ig0R0i4hAlPUSkRtt8/AL/+mo3B6KTAOjdpDb/GdVOd5BI+bhwjMxf/ovr7s8xY8VqmPjJ1AfzoCcZ0v8KJdhEpEx0DSyO0jkjIpciOSObV1Ye4ON1x3O/iJ4+rBVjuhfxRbRhQEZiEfUuiirkHQeZSWUP0sWjiGRFMXUvPAPBxbXs+5Ry9dOeKGZ9s4ezCbYE23Udw3mqohJsIlLtKekhIjVelsXKB78f4/WfD5KeZcXdxczEvo2YNqgZfp5uzg5PqqLEM1h/nQNbP8FsZAPwk6Ube1pOZeKoEZpKTUQuia6BxVE6Z0SkPOw6bZtyaFdkAt6k82TQGobWSyfYnFJwNIZhKeNeTOAVWEzdiyJqYrirqHVVdfhcEs9/v4+1B2IA21Rqz41sx4DKNpWaiFQpSnqIiFx08nwqT63Yza8HbRdbwb7uPDqkJbd0i8BFQ2mlNJJj4I9XsW58H7PVVjPmV0sHPvcfz7ibRtGzSW0nBygi1YGugcVROmdEpLzkFJfeufITXjX936U15uIOgQ2gVqO/HwERtqSHh79t6ikPf/D0B1ePSw9eKpX41ExeW32ITzecwGI1cHMxMblfEx68qjmebi7ODk9EqjglPURE8jAMgzUHzvH8d/s4GpsCQJswf54a0YbeTfWFtRQhLQ7WvYV1wzuYs1IB+MvainfNY+h/9Q3c2ashbipULiLlRNfA4iidMyJS3mLOn2fL5/8l9swR/EgjwJRG8wALYR6ZmDOTID3x0qarys/Fw5YE8fT/OxGS+2++5XmTJXmTJyokXilkWaws2nCCV1cfIiHNVo/l6jZ1ePLa1jQO9nFydCJSXSjpISJSiMxsK59uOMHrqw+SmG6bnmho27pMH9aKRroQkxwZyfDXXIw/38SUkQDADmsTXrWMpmH3ETx8dUtNZSUi5U7XwOIonTMiUlH2nEng2W/38texCwDU8ffg8WtaMbJzPVywQkaSrb5HeuLf/6YnXPw5oeC6/NtkJpdfsK6eBZMh+RMjhSVVPAP+Tqy4aPrjsjIMg7UHY/jP9/s4fM72vras48fT17XhimbBTo5ORKobJT1ERIpxISWT11YfZNFfJ7FYDVzMJkZ3q88DVzYnPNDL2eGJs2SlweaPMH7/P0ypsQDst0bwf9k3k950GE+NaEPzOn5ODlJEqitdA4ujdM6ISEUyDIOf9kTxn//t49SFNABa1PHlkatbck3bOphMlzBVsNVSdGIkIxHS44tZl1gBiROvIkab5CRRikme1ODEyV9Hz/PyygNsOh4HQJCPO/8c0oJbu0XgqhHxIlIBlPQQESmFg9FJzP7fPtZcLK7m7mLmjl4NmDKwGSF+ml+2xsjOhG2fYvw2B1PSWQCOWuvyWvbNHAoezOPXtmVQq1AnByki1Z2ugcVROmdE5HJIz7KwYN1x3llzOHe0fPt6AfxzSAsGtAi5tOTHpbBk25IfRSZGEvI8Tyh8m6yU8ovHzbuYxEjeUSeFTed1cZ2La/nFU4F2nIrn5ZUH+P2Q7UYxD1cz4/s0YuqgZgR41bzkj4hcPkp6iIg4YPPxC8z56UDu8G0vNxcmXtGIe/s3JcBbF23VltUCO5dirP0vpvgTAJw2gnkjexRbAoby4JDWjOgQroL3InJZ6BpYHKVzRkQup4S0LD74/Sgf/nGM1EwLAD0aBfHPIS3o2aSK1knMnzgpdGquwhImeZZdrP1XLvImTgodXVJEwiTn5wpOnOyPSuT/Vh5k5d5oAFzNJm7rEcG0Qc2pG+BZYfsVEcmhpIeIiIMMw+CPw7G8vPIgO07FA+Dn4codvRpyV99GhPrpIq7asFph3wqsv/wH8/lDAJwzAnkr+wZ+9bmW+we34aau9VWkXEQuK10Di6N0zoiIM5xPzmDu2iN8suEEmdlWAHo1CeL+gc3o3zzYeSM/nMWSZatxUiBhkm+kSXF1TrLTyi8eN59iapgUlzzJk0Qxu9g1uf1UPO+uPcJPe6MwDDCbYFTn+jw8uDkRQd7lF7uISAmU9BARKSPDMFi97xyvrDzA/qgkANxdzdzctT739GuigudVmWHAwZ+w/Pw8Lud2ARBn+DI3+zq+9xzB3Ve2ZUyPBni6uZTQkIhI+dM1sDhK54yIOFNUQjpv/nKIpZtOkW21fa3UJsyf+wc2ZVi7uqrp4AhLVjGjSvImUYpJnpRn4sTdF8PDn1SzN6dT3XkvpT9fWPsDcG37ujxydQuaharWoYhcfkp6iIhcIqvV4Of955i79jBbT8YDtjtahrUP4/4BTWlXL8C5AYpjjv5K5qpncT+7GYAkw4sPsq/lB78bGTugHbd0i1CyQ0ScStfA4iidMyJSGUTGp/Hh78f4bONJ0rJs0141rO3N5H5NuLlrfV1jO8IwIDsdMlNshdozUwr+nJGUZ3medWlxkBQFiZG2QvDlaLO1JYvbvcd9A5rSoo6SHSLiPEp6iIiUE8Mw2HQ8jrlrD+cWPAfo2TiIcb0bMaRtHU2DVIkZJ/8i6YdZ+J9dB0Ca4c7Hlmv4Oeg27ryyM8Pbh+kuNBGpFHQNLI7SOSMilUlcSiYfrz/Ox+uOE5eaBUBtH3du7R7BHb0aUi/Qy8kRljPDsNXzyJt4yEguPmFh93MKZBaSwDCsFRezqye4+1x8+Nr9nGH24nC8wc5zWZxNcyMFD7JcvOnYtB59Bt9EWL0GFReXiEgpKekhIlIB9p1NZN6vR/h251ksF4dwh/p5MKZHA8b0aKDibZVI2omtXPhuJvVifgMgw3BlseUq1oWP5/arujOwRUjNm29YRCo1XQOLo3TOiEhllJqZzdJNp3j/t6OcSUgHbCPmr2pdh7G9GtK3WTBm82W+DrdaCh8dUeLPxSUsUoAK/DrNzbuIBIUPuPsVs8634M8evrZaH/mKnBuGwfZT8Xy64QTf7TybW6Ml0NuNCX0aMb53I2r5uFfcMYqIOEhJDxGRCnQmPo3PNp7ks42niE3OAMDFbGJImzrc2ashvZvUvvwX8gKGwYk9G0he/SJt49cAkG2Y+dIYyJFWU7huQA9NSyYilZaugcVROmdEpDLLslj5eV80n244wZ+Hz+cubxzswx09G3Bjl/oEFfaFuiW7FEmJkkZU5HuelVqxB1seSYm8y928CxQTL08pGdl8v/Msn244wa7IhNzl7er5M65XI67rGI6Xu6YlE5HKR0kPEZHLIDPbyk97ovh0/Qk2Hr+Quzw8wJMbOtfjxs71aK45TyuWJZu4A79xev1yQiJXU9caDYDVMPGLWz/ievyTIX2vIMDbzcmBiogUT9fA4iidMyJSVRw+l8zCDSf4YstpkjKyAbjX9XtG+2wl1CMbX1M6ppwEhSWj4gIxmfMlJEqRlPAoJEmR92dXLzBX/ulysy1W/jxynq+2nuanPdG59VfcXc2M6BDG2F4N6RQRqNHwIlKpKekhInKZ7Y9KZOGGE6zYfoak9Ozc5e3q+TOqc32u7xhOiJ+HEyOsRjJTyTiwmuhNX1Dr9C/4WRNzV6Ubbuz27YNp4BN07tpHI25EpMrQNbA4SueMiFQ1KRnZrNh+hs82nuStmIk0NJ+r+J161QKfEPAOtv3s7m2rbeHmDW5eeR45yy/+7JZnG1cv++VVJNFhGAZ7zyby1dZIVuw4Q0zS3wmlxsE+3No9gtHdIgofcSMiUgkp6SEi4iTpWRZ+2X+OL7dGsvbAObIv1v5wMZvo0SiIIW3rcHWbOtSv5e3kSKuYlFhSd39PwravqB29Dnfj7wv2OMOX7V49MbUaTscBN1KrVi0nBioiUja6BhZH6ZwRkars2JED7Fr/I7uOR5ORlownmXiRSYinheZBrjTyNxPiacFsybBNT5WVZv/Izvk5tWKLfxfF1bOI5EkhSZLc5ElxyZac5fmSLS5u4MDoC6vVYMfpeFbujWblniiOxKTkrqvl7cZ1HcMZ1bmeRnWISJWkpIeISCVwISWT73ae4cutkWw/FW+3rm24P1e3qcOQNnVpHeanC87CXDhKwvYVpO/8hpD47Zj5uzNzyhrCevde0Go43ftfS+NQ1eoQkapN18DiKJ0zIlIdWK0GG46d56utkfywO4rkjL9Hzft7unJV6zoMaVOH/i1C8PFwLdiAYYAl6+/ESHZawQRJVipkp5ecPMnKs01h21fk1FtFMbnkSZ4UliTxwuLiSXS6maMJJt6I78PG5JDcl7u7mBncJpRRneszoEUI7q6Vf4SKiEhRlPQQEalkTp5PZeXeKFbujWbz8QtY83zyhgd40qdZMH2a1qZP02DqBng6L1BnMgySj28iZuOXeB/7iTrpR+1W77Y2YqtXH4yW19K5e1/a19fdSSJSfegaWBylc0ZEqpv0LAt/Ho5l5Z5oVu+L5nxKZu46d1czXRvU4opmtendNJiO9QNwdSmHL/At2bYER3aG7V9Lxt8/Z2far8tKg/QESIuD9HhIiy/85+z0S4+rjJZb+jPLPI2BLUMY0rYuA1uG4O+p+oYiUj0o6SEiUoldSMnk533RrNwbzW8HY8jIth+O3STEhyua2pIgXRrWoo5/9U2CJMVFc2Ln72Tu/R8NYn4l2Bqbuy7bMLPBaM2BgH54t7uO3l070yjYx4nRiohUHF0Di6N0zohIdWaxGmw9GcfKPbYbx06cT7Vb7+vhyqQ6h7jS6xD1fE3U8jBwsVxMUljyJSuy8yQy8q9zxtRYxTG72kZyuLhfnELLA8PVgwzDjaRsFy5kmIhJg2SLKxm4kWG4kYkrLu5e1A0OwrvHODp16oKHq4uzj0REpNwp6SEiUkWkZVrYdPwC646cZ92RWHZFJpD/U7mOvwcd6gfSsX4AHSMC6VAvkADvKna3jtVKRswRTu/fRNLxrbjF7CYk5SChxnm7zVIMDza5duVcvasI6HAt3Vo1pbavCsCLSPWna2BxlM4ZEakpDMPgaGwK6w7H8ufh86w/ep7EtAx2edyNr8l5oyqKZTKDux945Hm4+9gXQ3fz/Lt4+sUaIYbZhfi0bLZ49WHjBW92nIpnd2QCKZkWu+a93V3o0Tgod7aANmH+mM0aBS8i1VulSHq8/fbbzJkzh6ioKDp27Mibb75Jjx49SnydLt5FpCZLSM1iw7HzrDscy1/HLnAwOsluKqwc9Wt50TTE1/YI9cn9OdjX3elTPiUmxnH28C6Sj2/FFL0L/4T9hKcfwZu0Qrc/Y6rDiYDuZDcfRpOew6kXrELkIlLz6Bq4Ziprnwl0zohIzWW1Guw9m8jZ9Z9hOv4n8ckpYMnCjWzcyfk3G0+zFT83K76uViLSDzg7bId1TH+PBHwBW5Kjfb0A+jQNpk+z2nSsH6j6HCJS4zg96bF06VLGjRvHu+++S8+ePXnttddYtmwZBw4cIDQ0tNjX6uJdRORvqZnZ7DmTyI5T8ew4ncDO0/EFhnbn5efhSligJ3X8cx4e1PX3JNTfkyAfd3zcXfHzdMXHwxVfD9dSXShnZ1tISU0jNfkC6YkXyEiKJSPpAulxZ7EkROKafAavtCj8Ms9R2xKDH4XHl2G4ccTUgFjfFlhC2xHQpAuNWvcgqHZwmX8/IiLVha6Ba55L6TOBzhkRkRyGYXDifCo7Tsez83SCbXTEmQTSs2xTV4UTyzrPB50cpWOOuzTio3YLaBcRTMf6gTQL9cVFIzlEpIZzetKjZ8+edO/enbfeegsAq9VKREQEDzzwANOnT7fbNiMjg4yMDLvgIyIidPEuIlKE+NRMDp1L5si5ZI7EJHMkJoUjMcmcupBa6KiQ4ri7mPFyd8FsguuMNdxvLMUEuGDBBQvuRjZepONicqzhOPw57d6U+IBWWOu0w7dhZ8KbdaBuoK/TR6KIiFRG+gK75nGkzwTqN4mIOCLbYuVYrK2fdPRcIv22PkL75D+cHVauJ7Mm8aXpKhqH+NM05OLI/VBfmgT70LyOr2pyiIgUwpE+k2t57zwzM5MtW7YwY8aM3GVms5nBgwezfv36AtvPnj2bZ555przDEBGptgK93eneKIjujYLslqdnWTh1IZXoxAyiEtOJzvOISswgITWT5AwLKRnZpGXZ5oTNtFjJTLtYvM8lhTA3+xob5MtPJOFNksmXFLMfGW6BpHnVJdu3HubAengEReAT0oA6EU2pFRCEJqkSEREpnKN9JlC/SUTEEa4uZprX8aN5HT8gDK78HrCNCjmXlEFkfBrRCemci0+m846ZdIj9vkLiyMSNVbXH4uvpgq+7C74erpjD2nN/u+t4vpa36nCIiFSQck96xMbGYrFYqFOnjt3yOnXqsH///gLbz5gxg0ceeST3ec4dSyIi4hhPN5c8F/bFy7ZYScm0JUBSM7MBcEltw6nk0YAJw+yCYXbD3d0TLx8/vH38cPf2x8/sQsmti4iISHEc7TOB+k0iIuXBZDLlTgWcq9/iQrc1DIP0jCzST+8kIzEajxNrqbXjPbttElvdSlpEf1wiuuHlF4iXtz9mD+/c9e7A8Io4EBERKVa5Jz0c5eHhgYeHh7PDEBGpUVxdzAR4mQnwcsuz1A9o7KyQREREpBjqN4mIXF4mkwkvT3e8mnWzLegyHEbNsdvG/+JDREQql5Ir2DooODgYFxcXoqOj7ZZHR0dTt27d8t6diIiIiIhIlaI+k4iIiIhIxSn3pIe7uztdu3bl559/zl1mtVr5+eef6d27d3nvTkREREREpEpRn0lEREREpOJUyPRWjzzyCOPHj6dbt2706NGD1157jZSUFCZOnFgRuxMREREREalS1GcSEREREakYFZL0uPXWW4mJieHpp58mKiqKTp068eOPPxYo1CciIiIiIlITqc8kIiIiIlIxTIZhGM4OIq/ExEQCAgJISEjA31/loERERESk+tM1sDhK54yIiIiI1CSOXP+We00PERERERERERERERERZ1DSQ0REREREREREREREqgUlPUREREREREREREREpFpQ0kNERERERERERERERKoFJT1ERERERERERERERKRaUNJDRERERERERERERESqBSU9RERERERERERERESkWlDSQ0REREREREREREREqgUlPUREREREREREREREpFpQ0kNERERERERERERERKoFJT1ERERERERERERERKRaUNJDRERERERERERERESqBVdnB5CfYRgAJCYmOjkSEREREZHLI+faN+daWKQk6jeJiIiISE3iSJ+p0iU9kpKSAIiIiHByJCIiIiIil1dSUhIBAQHODkOqAPWbRERERKQmKk2fyWRUstvJrFYrZ86cwc/PD5PJ5OxwapzExEQiIiI4deoU/v7+zg5HnEDnQM2m979m0/tfs+n9dy7DMEhKSiI8PByzWTPQSsnUb3IufWbWbHr/aza9/zWb3v+aTe+/cznSZ6p0Iz3MZjP169d3dhg1nr+/v/54azidAzWb3v+aTe9/zab333k0wkMcoX5T5aDPzJpN73/Npve/ZtP7X7Pp/Xee0vaZdBuZiIiIiIiIiIiIiIhUC0p6iIiIiIiIiIiIiIhItaCkh9jx8PBg5syZeHh4ODsUcRKdAzWb3v+aTe9/zab3X0Sk9PSZWbPp/a/Z9P7XbHr/aza9/1VHpStkLiIiIiIiIiIiIiIiUhYa6SEiIiIiIiIiIiIiItWCkh4iIiIiIiIiIiIiIlItKOkhIiIiIiIiIiIiIiLVgpIeIiIiIiIiIiIiIiJSLSjpIaWSkZFBp06dMJlMbN++3dnhyGVw/PhxJk2aROPGjfHy8qJp06bMnDmTzMxMZ4cmFeTtt9+mUaNGeHp60rNnTzZu3OjskOQymD17Nt27d8fPz4/Q0FBGjhzJgQMHnB2WOMl///tfTCYTDz/8sLNDERGpctRnqnnUZ6qZ1G+qmdRvkrzUb6r8lPSQUnn88ccJDw93dhhyGe3fvx+r1cq8efPYs2cPr776Ku+++y5PPvmks0OTCrB06VIeeeQRZs6cydatW+nYsSPXXHMN586dc3ZoUsF+/fVXpk6dyoYNG1i1ahVZWVkMGTKElJQUZ4cml9mmTZuYN28eHTp0cHYoIiJVkvpMNY/6TDWP+k01l/pNkkP9pqrBZBiG4ewgpHL74YcfeOSRR/jiiy9o27Yt27Zto1OnTs4OS5xgzpw5zJ07l6NHjzo7FClnPXv2pHv37rz11lsAWK1WIiIieOCBB5g+fbqTo5PLKSYmhtDQUH799Vf69+/v7HDkMklOTqZLly688847PP/883Tq1InXXnvN2WGJiFQZ6jNJDvWZqjf1mySH+k01k/pNVYdGekixoqOjmTx5Mp9++ine3t7ODkecLCEhgaCgIGeHIeUsMzOTLVu2MHjw4NxlZrOZwYMHs379eidGJs6QkJAAoL/1Gmbq1KkMHz7c7nNARERKR30myUt9pupL/SbJS/2mmkn9pqrD1dkBSOVlGAYTJkzgvvvuo1u3bhw/ftzZIYkTHT58mDfffJOXX37Z2aFIOYuNjcVisVCnTh275XXq1GH//v1OikqcwWq18vDDD3PFFVfQrl07Z4cjl8mSJUvYunUrmzZtcnYoIiJVjvpMkpf6TNWb+k2SQ/2mmkn9pqpFIz1qoOnTp2MymYp97N+/nzfffJOkpCRmzJjh7JClHJX2/c8rMjKSoUOHcssttzB58mQnRS4iFW3q1Kns3r2bJUuWODsUuUxOnTrFQw89xKJFi/D09HR2OCIilYb6TDWb+kwiUhz1m2oe9ZuqHtX0qIFiYmI4f/58sds0adKE0aNH8+2332IymXKXWywWXFxcuOOOO/j4448rOlSpAKV9/93d3QE4c+YMAwcOpFevXixYsACzWbnS6iYzMxNvb2+WL1/OyJEjc5ePHz+e+Ph4VqxY4bzg5LKZNm0aK1as4LfffqNx48bODkcuk6+//ppRo0bh4uKSu8xisWAymTCbzWRkZNitExGpKdRnqtnUZ5LCqN8koH5TTaV+U9WjpIcU6eTJkyQmJuY+P3PmDNdccw3Lly+nZ8+e1K9f34nRyeUQGRnJoEGD6Nq1KwsXLtQHeDXWs2dPevTowZtvvgnYhus2aNCAadOmqSBfNWcYBg888ABfffUVa9eupXnz5s4OSS6jpKQkTpw4Ybds4sSJtGrViieeeELD9UVESqA+k6jPVLOo31Rzqd9Us6nfVPWopocUqUGDBnbPfX19AWjatKku3muAyMhIBg4cSMOGDXn55ZeJiYnJXVe3bl0nRiYV4ZFHHmH8+PF069aNHj168Nprr5GSksLEiROdHZpUsKlTp7J48WJWrFiBn58fUVFRAAQEBODl5eXk6KSi+fn5FbhA9/HxoXbt2rpwFxEpBfWZajb1mWoe9ZtqLvWbajb1m6oeJT1EpFCrVq3i8OHDHD58uECHTQPEqp9bb72VmJgYnn76aaKioujUqRM//vhjgSJ9Uv3MnTsXgIEDB9otnz9/PhMmTLj8AYmIiIhUEeoz1TzqN9Vc6jeJVC2a3kpERERERERERERERKoFVdcSEREREREREREREZFqQUkPERERERERERERERGpFpT0EBERERERERERERGRakFJDxERERERERERERERqRaU9BARERERERERERERkWpBSQ8REREREREREREREakWlPQQEREREREREREREZFqQUkPERERERERERERERGpFpT0EBERERERERERERGRakFJDxERERERERERERERqRaU9BARERERERERERERkWpBSQ8REREREREREREREakWlPQQEREREREREREREZFqQUkPERERERERERERERGpFpT0EBERERERERERERGRakFJDxERERERERERERERqRaU9BARERERERERERERkWpBSQ8REREREREREREREakWlPQQEREREREREREREZFqQUkPERERERERERERERGpFpT0EBERERERERERERGRakFJDxERERERERERERERqRaU9BARERERERERERERkWpBSQ8REREREREREREREakWlPQQEREREREREREREZFqQUkPKbUFCxZgMpnsHqGhoQwaNIgffvjB2eGJiIhUShkZGTzxxBOEh4fj5eVFz549WbVqValfv2XLFoYOHYq/vz9+fn4MGTKE7du3l3k7ERG5vNSPEhERcUxycjIzZ85k6NChBAUFYTKZWLBggUNtXGo/TKo2V2cHIFXPs88+S+PGjTEMg+joaBYsWMC1117Lt99+y4gRI5wdnoiISKUyYcIEli9fzsMPP0zz5s1z/99cs2YNffv2Lfa1W7dupW/fvkRERDBz5kysVivvvPMOAwYMYOPGjbRs2dKh7URExHnUjxIRESmd2NhYnn32WRo0aEDHjh1Zu3atw21cSj9Mqj6TYRiGs4OQqmHBggVMnDiRTZs20a1bt9zlcXFx1KlTh1tuuYVFixY5MUIREZHKZePGjfTs2ZM5c+bw6KOPApCenk67du0IDQ1l3bp1xb5++PDhrF+/nkOHDlG7dm0Azp49S4sWLRgyZAhffPGFQ9uJiMjlp36UiIiIYzIyMoiLi6Nu3bps3ryZ7t27M3/+fCZMmFCq119qP0yqPk1vJZcsMDAQLy8vXF3/Hjg0a9YsTCaT3XbJycnUrVsXk8lkl6GdO3cuHTt2JCAgAB8fHzp27MiHH36Yu37NmjWYTCa++uqrAvtevHgxJpOJ9evXc+LECaZMmULLli3x8vKidu3a3HLLLRw/frzI2Bs1alRgqHne+MrzOIBSx5iz39jYWLvlmzdvLjCkz5EYc36f/fr1o1atWnbHPG3atCJ/T3n3ExoaSlZWlt26zz77LLed/DFHRkZy1113UadOHTw8PGjbti0fffRRgXaLe+Q9hm3btjFs2DD8/f3x9fXlqquuYsOGDYXGPHDgwELbmzVrlt12ZTl3Soq/sL+H/fv3M3r0aPz9/alduzYPPfQQ6enplxRHaY7R0XOkpPcsb5slnaOOvL+OnPelPQ9K8/44ck4VJjIykkmTJhEeHo6HhweNGzfm/vvvJzMzs1S/g5zjKu1nnaP7zWvNmjV4eHhw33335S6riPM//7Hl3bakv4OiYi/unC3Mxx9/jMlkYtu2bTz44IPUrVsXLy8vrrvuOuLi4kp8fXlZvnw5Li4u3HPPPbnLPD09mTRpEuvXr+fUqVPFvv73339n8ODBuYkMgLCwMAYMGMB3331HcnKyQ9uJiEjloX5U6Y4D1I9SP0r9KPWj1I+qaf0oDw8P6tatW+bXX2o/TKo+TW8lDktISCA2NhbDMDh37hxvvvkmycnJ3HnnncW+7pVXXiE6OrrA8qSkJIYMGULTpk0xDIPPP/+cu+++m8DAQG666SYGDhxIREQEixYtYtSoUXavXbRoEU2bNqV3794sX76cdevWcdttt1G/fn2OHz/O3LlzGThwIHv37sXb27vQuPr165f7Ibhv3z5eeOGFCjkOgE2bNpUpRkcVFeOxY8cYPnw4YWFhPP3004SEhAAwduzYUredlJTEd999Z/dezJ8/H09PzwL/4UZHR9OrV6/czkBISAg//PADkyZNIjExkYcffpgbb7yRZs2a5b7mH//4B61bt7b7j6l169YA7Nmzh379+uHv78/jjz+Om5sb8+bNY+DAgfz666/07NmzQLz169dn9uzZgO0/+/vvv7/ANuXxvsydOxdfX9/c52ZzwZzy6NGjadSoEbNnz2bDhg288cYbxMXF8cknn1xSHKU5xvyKOkdK8545wpH3t7TKch4U9f6Upa28zpw5Q48ePYiPj+eee+6hVatWREZGsnz5clJTU3F3dy8yhmPHjvH000/nPi/tZ52j+82xY8cORo4cybXXXsvbb7+du7wizv/8x5ZXSX8HRSnqnC3Kzp07MZvNTJ48mfbt2zNr1izWrl3L0qVLeeONN5g5c2aRr83KyiIhIaFU+wkKCir07z3Htm3baNGiBf7+/nbLe/ToAcD27duJiIgo8vUZGRl4eXkVWO7t7U1mZia7d++mV69epd5OREScR/0o9aPUjypI/ajCqR+lflR+Na0fdakutR8m1YAhUkrz5883gAIPDw8PY8GCBXbbzpw508h7ep07d87w8/Mzhg0bZgDGmjVritxPdna24e/vb0ybNi132YwZMwwPDw8jPj7erk1XV1dj5syZhmEYRmpqaoG21q9fbwDGJ598Uui+6tWrZ0ycODH3+Zo1a+ziK+/jKG2MOfuNiYmx23bTpk0GYMyfP7/AtqWJcd68eQZgrF+/3q5dwJg6dWqRx5J3P2PGjDFGjBiRu/zEiROG2Ww2xowZUyDmSZMmGWFhYUZsbKxdW7fddpsREBBQ6O+jYcOGxvjx4wuNYeTIkYa7u7tx5MiR3GVnzpwx/Pz8jP79+xfYvk+fPka7du1yn8fExBhA7jmToyznTo6i3qvCtrn++uvtlk+ZMsUAjB07dpQ5jtIcoyPnSGnfM0fO0byKe39L26Yj50FJ74+j51R+48aNM8xms7Fp06YC66xWq0PHZRil+6xzdL+GYRjHjx83wsLCjL59+xppaWl221fE+V/cZ1VJfwf5Y8/5HZT2szfH1VdfbQDG0qVL7ZaHhYUZ1157bbGvzfm/oDSPY8eOFdtW27ZtjSuvvLLA8j179hiA8e677xb7+vbt2xstWrQwsrOzc5dlZGQYDRo0MABj+fLlDm0nIiKXn/pR6kepH1WQ+lHqR6kfpX5UaZX091GYS+2HSdWn6a3EYW+//TarVq1i1apVLFy4kEGDBnH33Xfz5ZdfFvma5557joCAAB588MFC11ssFmJjYzlx4gSvvvoqiYmJ9OvXL3f9uHHjyMjIYPny5bnLli5dSnZ2du6dUXnvcM3KyuL8+fM0a9aMwMBAtm7dWuh+MzMz8fDwKPWxX+pxlCVGRxUXY1JSEoDd9CeOuuuuu/jxxx+JiooCbEMfe/fuTYsWLey2MwyDL774guuuuw7DMIiNjc19XHPNNSQkJDh0zBaLhZUrVzJy5EiaNGmSuzwsLIzbb7+dP/74g8TERLvXpKen4+npWWLbl+N9AZg6dard8wceeACA//3vf2WOo7THmFdR50hZ3rMLFy7YbVfauzqKU1ybZTkPinKpbVmtVr7++muuu+46u/m5c+QfVlwapfmsc3S/58+f55prrsHPz49vvvmmwPlyuc7/HCX9HRSmpM/ewuzcuZOBAwcyevRou+W1a9cu8a6rjh075v4/V9KjpCHXaWlphf4/k/M+pKWlFfv6KVOmcPDgQSZNmsTevXvZvXs348aN4+zZs3avL+12IiLiPOpHqR+lflTZqB9VOupHqR+VX1XuR12qS+2HSdWn6a3EYT169LD7D2LMmDF07tyZadOmMWLEiALDAY8dO8a8efOYO3dukRcVhw4dyh2a6e7uzjvvvGP3AduqVSu6d+/OokWLmDRpEmAbptirV6/cIZ9paWnMnj2b+fPnExkZiWEYua8v6gIiISHBbihhccrjOMoSoyNKijFnSOdjjz3G7Nmzc4dlO6JTp060a9eOTz75hMcee4wFCxbw5JNPFpgPMSYmhvj4eN577z3ee++9Qts6d+5cqfcbExNDamoqLVu2LLCudevWWK1WTp06Rdu2bXOXx8bG0rx58xLbruj3JUf+WJo2bYrZbM6d87MscZT2GHMUd46U5T0r7P24VMW1WZbzoKLaiomJITExkXbt2pW4r9IqzWedo/sdMWIEBw4cIDQ01O6cynG5zv8cJf0d5Feaz978YmJiiI6O5oknniiwLjIykiuvvLLY19eqVYvBgweXal8l8fLyIiMjo8DynGksCpuSKq/77ruPU6dOMWfOHD7++GMAunXrxuOPP85//vOf3P/DSrudiIg4j/pR6kepH1U26keVjvpR6kflVdX7UZfqUvthUvUp6SGXzGw2M2jQIF5//XUOHTpU4D+2f/3rXzRv3pzx48fz+++/F9pGgwYNWLVqVe48p//4xz+IiIhgxIgRuduMGzeOhx56iNOnT5ORkcGGDRt46623ctc/8MADzJ8/n4cffpjevXsTEBCAyWTitttuw2q1FtjnhQsXyMzMLHV2uTyOw9EYHVVSjH369GHOnDk888wztGnTpsz7ueuuu3jnnXfo0aMHUVFRjB49mldeecVum5zjufPOOxk/fnyh7XTo0KHMMZQkMzOTs2fPcvXVV5e4bUW/L0XJfyeJo3E4cow5ijtHyvKeffHFF3ZzZB48eLDAHSiOqog2q5KSPusctX//fn744QdGjx7NP//5T+bPn2+33lnnf46S7uQqzWdvfjt37gSgS5cudssjIyOJi4ujffv2xb4+MzOTCxculGpfISEhuLi4FLk+LCyMyMjIAstzRmCEh4eXuI///Oc/PProo+zZs4eAgADat2/Pk08+CWB3d2hptxMRkcpB/ajSH4f6UfbUj1I/qjDqR6kflVdV70ddqvLoh0nVpqSHlIvs7GzAVvwrr23btrFkyRK+/vrrYj/MvL29c7PBo0aN4vjx4zz33HN2F+u33XYbjzzyCJ999hlpaWm4ublx66235q5fvnw548ePt7toTE9PJz4+vtB97t27Fyhd8a/yOg5HY3REaWN89NFHOXToEF988QWffPIJ7u7uDl3sAdxxxx089thjPPTQQ9x88834+fkV2CYkJAQ/Pz8sFku5ZPpDQkLw9vbmwIEDBdbt378fs9lsV4Rqx44dZGVlFTpsNb+KfF/yOnToEI0bN859fvjwYaxWK40aNSpTHI4cI5R8jpTlPevfvz/BwcG5zwMDA0v1urK26eh5UJxLbSskJAR/f392795dqv2VVkmfdY7u95tvvqFfv37Mnj2badOmceedd3LVVVflrr9c53+Okv4O8irt51p+ORfr+TuXu3btKnR5fuvWrWPQoEGl2texY8cKjT1Hp06dWLNmDYmJiXad0L/++it3fWnUqlWLvn375j5fvXo19evXp1WrVmXaTkREKgf1o0p3HOpHlZ36UQWpH2VP/ajCqR/1N2f0oy5VefXDpOpSTQ+5ZFlZWaxcuRJ3d/cCF77Tp0/niiuu4Prrry91exaLhbi4uALD0IKDgxk2bBgLFy5k0aJFDB061O4/dBcXlwJDDt98800sFkuh+1myZAnu7u52Xw4VpbyOw9EYHVHaGL/99lvee+89PvjgA6699toyXUgHBQVxww03sHPnTu66665Ct3FxceGmm27iiy++KPSiIiYmxqF9uri4MGTIEFasWGE3fDM6OprFixfTt29fu//Ili1bhouLi12Hr7i2K+p9yevtt98usA+AYcOGlSkOR44RSj5Hyvs9qwiOngcV2ZbZbGbkyJF8++23bN68ucD6woZAl0ZJn3WO7jdnPuwpU6bQp08f7r33Xrv5Sy/X+Z+jpL+DvMry2Qu2i/L69etTq1Ytu+U7d+7EZDKVOGy/POeivfnmm7FYLHZTHWRkZDB//nx69uyZ2yFMTU1l//79xMbGlnh8S5cuZdOmTTz88MOYzUVfyhW1nSP7EhGRiqN+VOmPQ/2ov6kfpX5UWagfpX5UaVSmflRpFdW3qYh+mFQtGukhDvvhhx/Yv38/YJuXcvHixRw6dIjp06cX+I9t5cqV/Pnnn8W2179/fwYOHEiDBg1ITk5m+fLlbNu2jZdffrnAtuPGjePmm28GbAWZ8hoxYgSffvopAQEBtGnThvXr17N69eoCxeYOHTrEzJkz+eyzzwqNuTDldRyljTHHL7/8YhffoUOHANt/RLt27bIbWliaGKOiopg0aRJ33303I0eOLOmwi7VgwQLefvttu4uI/P773/+yZs0aevbsyeTJk2nTpg0XLlxg69atrF69utTDHnM8//zzrFq1ir59+zJlyhRcXV2ZN28eGRkZvPTSSwCkpKTw9ttv88Ybb9CiRQvWrl2b+/qcO+h27tzJ+vXrc+fmdfR9Katjx45x/fXXM3ToUNavX8/ChQu5/fbb6dixo0NxlOUYoXTnSHm/ZxWhNOfB5WrrhRdeYOXKlQwYMIB77rmH1q1bc/bsWZYtW8Yff/xR5ju2ivusK+t+TSYTH3zwAZ06dWLmzJm5x3e5zv8cJf0d5FWac7YwO3fuLPQupF27dtGkSRN8fHyKfX15zkXbs2dPbrnlFmbMmMG5c+do1qwZH3/8McePH+fDDz/M3W7jxo0MGjSImTNnMmvWrNzlv/32G88++yxDhgyhdu3abNiwgfnz5zN06FAeeughh7crbl8iIlKx1I8q+3GoH6V+lPpRl079KPWjSlKZ+lEAb731FvHx8Zw5cwawJZ9Pnz4N2KYXCwgIKLJvc6n9MKn6lPQQhz399NO5P3t6etKqVSvmzp3LvffeW2DbG264gT59+hTbXrt27Vi4cCFnzpzBx8eHFi1a8PHHHzNu3LgC21533XXUqlULq9VaIGP9+uuv4+LiwqJFi0hPT+eKK65g9erVXHPNNXbbbdmyhV27dvH666/zwAMPlOqYy+s4ShtjjrxDMfP6v//7P86fP8+CBQtKHaNhGEycOJHAwEBee+21Yo+lNLy8vEos/FSnTh02btzIs88+y5dffsk777xD7dq1adu2LS+++KLD+2zbti2///47M2bMYPbs2VitVnr27MnChQvp2bMnYLuLJqfo1r59+xg7dmyBdr766iv8/f1zL2QdfV/KaunSpTz99NNMnz4dV1dXpk2bxpw5c3LXlzaOshwjlO48Lu/3rCKU5jy4XG3Vq1ePv/76i6eeeopFixaRmJhIvXr1GDZsGN7e3mU9xGI/6y5lv61bt+Zf//oXzz33XG7x1Mt1/uco6e8gr9Kcs/lZrVb27t1b6HQT+b/kuFw++eQTnnrqKT799FPi4uLo0KED3333Hf379y/xtfXq1cPFxYU5c+aQlJRE48aNef7553nkkUdwdXV1eDsREXEe9aPKfhzqR6kfpX7UpVM/Sv2o4lTGftTLL7/MiRMncp9/+eWXfPnll4Cthk5AQECxr7+UfphUfSajrOPGRJwgOzub8PBwrrvuOrvMbE0zYcIEALuLdbE5fvw4jRs3LnZ+yFmzZnH8+PHL9vubNWsWzzzzDDExMcXe0VValfEYpXxVx8+68v47cFR2djY+Pj5Mnz6dZ5555rLvX0RExJmq47VFWagfVbTK2MdQP0ocVR0/69SPEikb1fSQKuXrr78mJiam0LuXRESqC33Wlb8DBw6QmZnplDuUREREnE3XFiJSE+izrvypHyVVleY7kCrhr7/+YufOnTz33HN07tyZAQMGODskp9J/NkXz9fXljjvuwNfXt8htOnToQHh4+GWMqnzVhGOsqfRZV3F27doF6PNTRERqFl1b2NN1QNFqQh+jJhxjTaXPuoqjfpRUVUp6SJUwd+5cFi5cSKdOnTTMFPjnP//p7BAqreDgYBYuXFjsNjfeeONliqZi1IRjrKn0WVdxdu3ahaenJ82aNXN2KCIiIpeNri3sqR9VtJrQx6gJx1hT6bOu4qgfJVWVanqIiIiIiIiIiIiIiEi1oJoeIiIiIiIiIiIiIiJSLSjpISIiIiIiIiIiIiIi1YKSHiIiIiIiIiIiIiIiUi0o6SEiIiIiIiIiIiIiItWCkh4iIiIlOH36NAsWLMh9fvz4cRYtWuS8gERERERERMqZ+j0iUl0o6SEi5WrBggWYTCY2b95cYN3777+PyWRi5MiRWCwWJ0QnUjYmk4mpU6fy008/cfz4cR5//HF+//13p8WzdetWrr/+eoKCgvD29qZdu3a88cYbBbbLzMzkhRdeoFWrVnh6elKnTh2GDx/O6dOny9ymiIiIiKjfI9VTZen3JCcnM3PmTIYOHUpQUBAmk8kuGZPfvn37GDp0KL6+vgQFBTF27FhiYmIKbGe1WnnppZdo3Lgxnp6edOjQgc8++6zStSkil87V2QGISM3w1Vdfcf/999OvXz+WLFmCi4uLs0MSKbV69eoxefJkhg4dCkBYWBhr1651SiwrV67kuuuuo3Pnzjz11FP4+vpy5MiRAomMrKwshg8fzrp165g8eTIdOnQgLi6Ov/76i4SEBOrXr+9wmyIiIiJSPPV7pCqrLP2e2NhYnn32WRo0aEDHjh2LjeH06dP079+fgIAAXnjhBZKTk3n55ZfZtWsXGzduxN3dPXfbf/3rX/z3v/9l8uTJdO/enRUrVnD77bdjMpm47bbbKk2bIlIODBGRcjR//nwDMDZt2pS7bM2aNYaHh4fRvn17Iz4+3onRiVyaw4cPGxs2bDCSk5Odsv+EhASjTp06xqhRowyLxVLsti+++KLh5uZm/PXXX+XWpoiIiIjYqN8j1Zmz+z3p6enG2bNnDcMwjE2bNhmAMX/+/EK3vf/++w0vLy/jxIkTuctWrVplAMa8efNyl50+fdpwc3Mzpk6dmrvMarUa/fr1M+rXr29kZ2dXijZFpHxoeisRqVDbt2/nhhtuICwsjJ9++omAgIAC2yxbtoyuXbvi5eVFcHAwd955J5GRkYW2ZzKZCn0cP37cbptZs2bZvW7OnDmYTCYGDhyYu2zWrFmYTKYC+2jUqBETJkywWxYfH8/DDz9MREQEHh4eNGvWjBdffBGr1Wq3ndVq5fXXX6d9+/Z4enoSEhLC0KFDc4e9FxV/ziMnvrVr19ot9/DwoEWLFsyePRvDMOz2uW3bNoYNG4a/vz++vr5cddVVbNiwodDfX17Hjx8vdJjw1KlTMZlMub+DnKH7xT3ytrF//35uvvlmgoKC8PT0pFu3bnzzzTd2+8hp87fffuPee++ldu3a+Pv7M27cOOLi4uy2XbFiBcOHDyc8PBwPDw+aNm3Kc889V2CqgIEDB9KuXbsCx/nyyy8XOEdy9p93mdVqpUOHDgWOZ8KECTRq1AiApk2b0rNnTy5cuICXl1eBNira4sWLiY6O5j//+Q9ms5mUlJQC5yD8fR6OGjWKHj16kJ2dTWpq6iW1KSIiIiJFU79H/R71e8qPh4cHdevWLdW2X3zxBSNGjKBBgwa5ywYPHkyLFi34/PPPc5etWLGCrKwspkyZkrvMZDJx//33c/r0adavX18p2hSR8qHprUSkwhw5coShQ4fi4eHBTz/9RFhYWIFtFixYwMSJE+nevTuzZ88mOjqa119/nT///JNt27YRGBhY4DWjRo3ixhtvBOD333/nvffeKzaO+Ph4Zs+eXebjSE1NZcCAAURGRnLvvffSoEED1q1bx4wZMzh79iyvvfZa7raTJk1iwYIFDBs2jLvvvpvs7Gx+//13NmzYQLdu3fj0009zt82J/dVXXyU4OBiAOnXq2O37ySefpHXr1qSlpbF06VKefPJJQkNDmTRpEgB79uyhX79++Pv78/jjj+Pm5sa8efMYOHAgv/76Kz179nToWA8fPsz7779vt6x///52cf/nP/8BbMN4c/Tp0yc3niuuuIJ69eoxffp0fHx8+Pzzzxk5ciRffPEFo0aNsmt72rRpBAYGMmvWLA4cOMDcuXM5ceJEbucHbOeIr68vjzzyCL6+vvzyyy88/fTTJCYmMmfOHIeOrziffvopu3btKtW2Tz/9NOnp6aXaNiMjg6SkpFJtm3MeFGX16tX4+/sTGRnJyJEjOXjwID4+PowdO5ZXX30VT09PAPbu3cuZM2fo0KED99xzDx9//DGZmZm0b9+e119/nUGDBjncpoiIiIgUTv0e9XvU7ynffk9pRUZGcu7cObp161ZgXY8ePfjf//6X+3zbtm34+PjQunXrAtvlrO/bt6/T2xSRcuLsoSYiUr3kDPP+7rvvjKZNmxqAMWTIkEK3zczMNEJDQ4127doZaWlpucu/++47AzCefvppu+2zsrIMwHjmmWcK7O/YsWO5ywBj5syZuc8ff/xxIzQ01OjatasxYMCA3OXPPPOMARhWq9VuPw0bNjTGjx+f+/y5554zfHx8jIMHD9ptN336dMPFxcU4efKkYRiG8csvvxiA8eCDDxY41vz7KCr2HGvWrDEAY82aNbnL0tPTDbPZbEyZMiV32ciRIw13d3fjyJEjucvOnDlj+Pn5Gf379y/Qbl7Hjh0rMEx49OjRRrt27YyIiAi730FeAwYMsPs95nXVVVcZ7du3N9LT03OXWa1Wo0+fPkbz5s0LHHvXrl2NzMzM3OUvvfSSARgrVqzIXZaamlpgP/fee6/h7e1tt58BAwYYbdu2LbDtnDlzCvye8//u09PTjQYNGhjDhg0r8DsZP3680bBhw9znu3fvNsxmc+62hb1/eeXsqzSPknTo0MHw9vY2vL29jQceeMD44osvjAceeMAAjNtuuy13uy+//NIAjNq1axvNmzc35s+fb8yfP99o3ry54e7ubuzYscPhNkVERETkb+r3qN+jfo+98uz35FXc9FY56z755JMC6x577DEDyP3dDR8+3GjSpEmB7VJSUgzAmD59eqVoU0TKh6a3EpEKMWHCBE6dOsXtt9/OypUrWbZsWYFtNm/ezLlz55gyZYrd3eTDhw+nVatWfP/993bbZ2ZmArahrqUVGRnJm2++mVucOa/Q0FCAEos1L1u2jH79+lGrVi1iY2NzH4MHD8ZisfDbb78BtuGqJpOJmTNnFmijsOHkpZGQkEBsbCwnT57kpZdewmq1cuWVVwJgsVhYuXIlI0eOpEmTJrmvCQsL4/bbb+ePP/4gMTGx1PvasmULy5YtY/bs2ZjNjv/3cOHCBX755RdGjx5NUlJS7u/p/PnzXHPNNRw6dKjA8P177rkHNze33Of3338/rq6udne6eHl55f6c026/fv1ITU1l//79DsdZmLfffpvz588X+t7lN2PGDLp06cItt9xSqravueYaVq1aVapHSZKTk0lNTWXcuHG88cYb3Hjjjbzxxhvce++9LFmyhEOHDuVuB7bf188//8yECROYMGECq1evxjAMXnrpJYfbFBEREZGC1O+xp36P+j3l0e8prbS0NKDwv5Wcv7WcbdLS0kq9nTPbFJHyoemtRKRCXLhwgSVLljBq1Cj27t3LQw89xJAhQ+zmtj1x4gQALVu2LPD6Vq1a8ccff9gti4+PByhwEV+cmTNnEh4ezr333svy5cvt1vXu3RuTycSMGTN4/vnnc9vNP1/toUOH2LlzJyEhIYXu49y5c4BtWHt4eDhBQUGljq8kI0eOzP3ZbDbz73//m5tuugmAmJgYUlNTC/39tW7dGqvVyqlTp2jbtm2p9jV9+nT69evHiBEjmDZtmsOxHj58GMMweOqpp3jqqacK3ebcuXPUq1cv93nz5s3t1vv6+hIWFmY3X+yePXv497//zS+//FKgM5OQkOBwnPklJCTwwgsv8MgjjxQYZp/fH3/8wbfffsvPP//MyZMnS9V+WFhYoVMclEVOR2jMmDF2y2+//XbmzZvH+vXrad68ee52V1xxBREREbnbNWjQgL59+7Ju3TqH2xQRERGRgtTvKR/q96jfUxY5fZmMjIwC63Km5crZxsvLq9TbObNNESkfSnqISIWYM2dO7h0h7733Hr169WLGjBm88847ZW4zKioKoNQFzfbt28eCBQtYuHCh3V01OTp27MjMmTN55plnWLRoUZHtWK1Wrr76ah5//PFC17do0aJU8ZTFyy+/TMeOHcnKymLTpk08//zzuLq6lurOHEesXLmS1atX2xVac1ROp+nRRx/lmmuuKXSbZs2aOdRmfHw8AwYMwN/fn2effZamTZvi6enJ1q1beeKJJ8ql4PaLL76I2Wzmscce4/z588Vu+8QTT3DNNddw5ZVXFiiEWJS0tLRSd1JKOrfDw8PZs2dPgU5Kzt17OcUQw8PDgYJzJedsu23bNofbFBEREZGC1O8pH+r3qN9TFjlJlrNnzxZYd/bsWYKCgnJHV4SFhbFmzRoMw7AbkZTz2pw+lLPbFJHyoaSHiFSI/v375/7cvXt3pk6dyttvv824cePo1asXAA0bNgTgwIEDuUOXcxw4cCB3fY69e/cCFCgSVpQZM2bQqVMnbr311iK3mTlzJvfccw/79+/HYrEAcOedd9pt07RpU5KTkxk8eHCx+2vatCk//fQTFy5cKLe7nrp27crAgQMBGDZsGJGRkbz44os89dRThISE4O3tzYEDBwq8bv/+/ZjNZru7/ItiGAbTp09n1KhRue9NWeQMNXdzcyvxd5Xj0KFDdkW1k5OTOXv2LNdeey0Aa9eu5fz583z55Zd259SxY8fKHGdeZ86c4fXXX2f27Nn4+fkVe/H/9ddfs379erZu3erQPpYuXcrEiRNLta1hGMWu79q1K6tWrSIyMtLuTrczZ84A5N6V1759e9zc3AoMq8/ZNu/de6VtU0REREQKUr9H/Z7SUL/HXkn9ntKqV68eISEhbN68ucC6jRs30qlTp9znnTp14oMPPmDfvn20adMmd/lff/2Vu74ytCki5UM1PUTksvjPf/5DWFgY99xzD9nZ2QB069aN0NBQ3n33Xbthnj/88AP79u1j+PDhdm0sXbqUsLCwUl38r1+/nhUrVvDf//63xHllw8LCGDRoEIMHD2bw4MF28+wCjB49mvXr1/PTTz8VeG18fHzu8dx0000YhsEzzzxTYLvyuqhLS0sjOzub7OxsXFxcGDJkCCtWrLAbFh0dHc3ixYvp27cv/v7+Jba5ZMkSdu7cyezZsy8pttDQUAYOHMi8efMKvYMlJiamwLL33nuPrKys3Odz584lOzubYcOGAeDi4gLY//4yMzMv6c65vJ555hnq1KnDfffdV+x2FouFJ598kttvv93hC9LynNt29OjRAHz44Yd2yz/44ANcXV1zO4p+fn5ce+21rFu3zm7+33379rFu3Tquvvpqh9sUERERkZKp36N+j/o9l6+mB9jOx++++45Tp07lLvv55585ePCgXT2SG264ATc3N7vfqWEYvPvuu9SrV48+ffpUijZFpHxopIeIXBZ+fn68+eab3Hjjjbzyyis88cQTuLm58eKLLzJx4kQGDBjAmDFjiI6O5vXXX6dRo0b84x//AGyF/5566il+/PFH3n333VIVx1u5ciVXX311qe+8Kc5jjz3GN998w4gRI5gwYQJdu3YlJSWFXbt2sXz5co4fP05wcDCDBg1i7NixvPHGGxw6dIihQ4ditVr5/fffGTRoUJnmi121ahWnT5/OHea9aNEirr/+etzd3QF4/vnnWbVqFX379mXKlCm4uroyb948MjIy7IpVF2flypVMnjy50DlyHfX222/Tt29f2rdvz+TJk2nSpAnR0dGsX7+e06dPs2PHDrvtMzMzueqqqxg9ejQHDhzgnXfeoW/fvlx//fUA9OnTh1q1ajF+/HgefPBBTCYTn376aZGdqeTkZH788Ue7ZTl3hP3666+4ubnZza27cuVKFi1alPv7LMrp06dxd3e3KzRYWuU5t23nzp256667+Oijj8jOzmbAgAGsXbuWZcuWMWPGjNzh0wAvvPACP//8M1deeSUPPvggAG+88QZBQUE8+eSTZWpTRERERIqnfo/6Per3lI+33nqL+Pj43BHo3377LadPnwbggQceyK2b8+STT7Js2TIGDRrEQw89RHJyMnPmzKF9+/Z2I0/q16/Pww8/zJw5c8jKyqJ79+58/fXX/P777yxatCg38eTsNkWknBgiIuVo/vz5BmBs2rSp0PU33HCD4e3tbRw9ejR32dKlS43OnTsbHh4eRlBQkHHHHXcYp0+fzl3/4osvGt27dzcWLVpU5P6OHTuWuwwwTCaTsWXLFrttBwwYYAwYMKDEY2jYsKExfvx4u2VJSUnGjBkzjGbNmhnu7u5GcHCw0adPH+Pll182MjMzc7fLzs425syZY7Rq1cpwd3c3QkJCjGHDhhWIpajYc6xZs8YAch+urq5Gw4YNjQcffNCIi4uz23br1q3GNddcY/j6+hre3t7GoEGDjHXr1pV4nMeOHTMAw8vLy4iMjCzxd5CjpN/jkSNHjHHjxhl169Y13NzcjHr16hkjRowwli9fXuDYf/31V+Oee+4xatWqZfj6+hp33HGHcf78ebv2/vzzT6NXr16Gl5eXER4ebjz++OPGTz/9ZADGmjVr7OLK+zsr7DF//ny7/Xfq1MmwWq0Ffic52xmGYYwfP94AjIceesguruLev4qUmZlpzJo1y2jYsKHh5uZmNGvWzHj11VcL3XbLli3G4MGDDR8fH8PPz8+44YYbjIMHD15SmyIiIiKifo/6Per3VLSGDRsWeXz5Y9m9e7cxZMgQw9vb2wgMDDTuuOMOIyoqqkCbFovFeOGFF4yGDRsa7u7uRtu2bY2FCxcWun9ntikil85kGOU09lBERKSUFixYwMSJE9m0aRPdunW7LPts1KgRs2bNYsKECZdlfyIiIiIiUrOp3yMi4hyq6SEiIiIiIiIiIiIiItWCkh4iIlIjDBgwwG5eWxERERERkepG/R4RERUyFxGRGuLjjz92dggiIiIiIiIVSv0eERFQTQ8REREREREREREREakWNL2ViIiIiIiIiIiIiIhUC5Vueiur1cqZM2fw8/PDZDI5OxwRERERkQpnGAZJSUmEh4djNuu+JCmZ+k0iIiIiUpM40meqdEmPM2fOEBER4ewwREREREQuu1OnTlG/fn1nhyFVgPpNIiIiIlITlabPVOmSHn5+foAteH9/fydHIyIiIiJS8RITE4mIiMi9FhYpifpNIiIiIlKTONJnqnRJj5yh2f7+/rp4FxEREZEaRdMUSWmp3yQiIiIiNVFp+kyaMFhERERERERERERERKoFJT1ERERERERERERERKRaUNJDRERERERERERERESqBSU9RERERERERERERESkWlDSQ0REREREREREREREqgUlPUREREREREREREREpFpQ0kNERERERERERERERKoFJT1ERERERERERERERKRaUNJDRERERERERERERESqBSU9RERERERERERERESkWlDSQ0REREREREREREREqgUlPUREREREREREREREpFpQ0kNERERERERERERERKoFJT1ERERERERERERERKRacCjpMXv2bLp3746fnx+hoaGMHDmSAwcO2G0zcOBATCaT3eO+++4r16BFREREREQqK/WbREREREScx6Gkx6+//srUqVPZsGEDq1atIisriyFDhpCSkmK33eTJkzl79mzu46WXXirXoEVERERERCor9ZtERERERJzH1ZGNf/zxR7vnCxYsIDQ0lC1bttC/f//c5d7e3tStW7d8IrzMDMPgr2MX6NKgFu6umv1LREREpCb46+h5OjUIxMPVxdmhSDVQE/pNMUkZxCZn0DrM39mhiIiIiMhlcOJ8CiZMNKjt7exQSnRJ3+onJCQAEBQUZLd80aJFBAcH065dO2bMmEFqamqRbWRkZJCYmGj3cKbb3tvAbe9t4Od90U6NQ0REREQuj6iEdMa8v4Hes38hPjXT2eFINVTd+k0/7o6i9+yfefKrXU6LQUREREQur9dXH6L/nDW8/9tRZ4dSIodGeuRltVp5+OGHueKKK2jXrl3u8ttvv52GDRsSHh7Ozp07eeKJJzhw4ABffvlloe3Mnj2bZ555pqxhlLuuDWvx17ELLNl0imHtw5wdjoiIiIhUsOVbTmE1oGmID4He7s4OR6qZ6thv6tqwFgDbTsZzICqJlnX9nByRiIiIiFSkhNQsvt91FoBujWo5OZqSmQzDMMrywvvvv58ffviBP/74g/r16xe53S+//MJVV13F4cOHadq0aYH1GRkZZGRk5D5PTEwkIiKChIQE/P0v/1DpE+dTGDBnLSYT/P74IOrXqvzDdURERESkbKxWgwEvr+HUhTReuaUjN3Ut+rq2IiUmJhIQEOC0a2CpONW133Tfp1v4cU8UE69oxMzr2l72/YuIiIjI5fPJ+uM8vWIPrer68cND/TCZTJc9Bkf6TGWa3mratGl89913rFmzptgLd4CePXsCcPjw4ULXe3h44O/vb/dwpoa1fejTtDaGAZ9vPu3UWERERESkYv15JJZTF9Lw83TlWo3ylXJWnftNt/aIAOCrbZGkZ1mcGouIiIiIVBzDMPhs4ykAbu0e4ZSEh6McSnoYhsG0adP46quv+OWXX2jcuHGJr9m+fTsAYWFVpxN5W48GACzbfAqLtUwDYURERESkCliyyXbxPrJTPbzcVcRcykdN6Df1bx5CeIAn8alZ/LQnytnhiIiIiEgF2RWZwL6zibi7mhnVuZ6zwykVh5IeU6dOZeHChSxevBg/Pz+ioqKIiooiLS0NgCNHjvDcc8+xZcsWjh8/zjfffMO4cePo378/HTp0qJADqAjXtK1DoLcbZxPS+e1gjLPDEREREZEKcD45g5UXv6y97eJd6yLloSb0m1zMJm7pZvu7WXLxzj8RERERqX5yRnkMa1e3ytRAdCjpMXfuXBISEhg4cCBhYWG5j6VLlwLg7u7O6tWrGTJkCK1ateKf//wnN910E99++22FBF9RPFxduLGzbfj5kk0nnRyNiIiIiFSEr7ZFkmUxaF8vgLbhAc4OR6qRmtJvGt09ApMJ1h89z/HYFGeHIyIiIiLlLCUjm2+2RwJwW/cGTo6m9Fwd2bikmucRERH8+uuvlxRQZXFbjwg++vMYP+87x7mkdEL9PJ0dkoiIiIiUE9u8tLabWzTKQ8pbTek31Qv0YkCLENYeiGHp5lM8MbSVs0MSERERkXL0/c6zpGRaaFTbm15NgpwdTqmVqZB5TdCijh9dGgSSbTX4Ykuks8MRERERkXK05UQcR2JS8HJz4fqO4c4OR6TKuq27LWm4bPNpsixWJ0cjIiIiIuXps4uzIN3avUGVKGCeQ0mPYuQUNF+66WSJd2uJiIiISNWRMy/tiA5h+Hm6OTkakarrqtZ1CPZ1JzY5g1/2n3N2OCIiIiJSTg5EJbHtZDyuZhM3da0aBcxzKOlRjBEdwvD1cOX4+VQ2HL3g7HBEREREpBwkpmfx/a4zgKa2ErlUbi5mbup6sR7iRtVDFBEREakucmpdX9U6tMqVflDSoxje7q5c38k23YEKmouIiIhUDyu2nyE9y0rzUF+6NKjl7HBEqrycopa/HozhTHyak6MRERERkUuVnmXhq20XC5j3qDoFzHMo6VGCnDlqf9gdRXxqppOjEREREZFLlXM3+q3dI6rUvLQilVXjYB96Ng7Cathqe4iIiIhI1fbTnijiU7MID/Ckf/MQZ4fjMCU9StC+XgBtwvzJzLbmZrdEREREpGraHZnAnjOJuLuYubFLfWeHI1JtjLl4B+Dnm09hsaoeooiIiEhVtuRiDcRbukXgYq56N4op6VECk8nEmItzPS/ZeEoFzUVERESqsM8ujvK4pl1dgnzcnRyNSPUxtF1d/D1diYxP44/Dsc4OR0RERETK6HhsCuuPnsdkglu6Vc0bxZT0KIXrO9XD083Mgegktp+Kd3Y4IiIiIlIGqZnZfLP9YgHz7ipgLlKePN1cckdPqaC5iIiISNW1dLNtlEf/5iHUr+Xt5GjKRkmPUgjwcuPa9mHA30N7RERERKRq+X7nWZIysmkQ5E3vJrWdHY5ItXPrxWTiqr3RxCZnODkaEREREXFUlsXK8i22Gm1V+UYxJT1K6bbutjlqv915hqT0LCdHIyIiIiKOWrLJdvPKrd0jMFfBeWlFKrvWYf50jAgk22rkdpZFREREpOr4ed85YpIyCPZ156rWdZwdTpkp6VFK3RvVolmoL6mZFlZcnBZBRERERKqGA1FJbDkRh6vZxC1dq+a8tCJVwe0X6yF+tvEkVhU0FxEREalSFl+cpvTmrhG4u1bd1EHVjfwysxU0t432WPzXSRU0FxEREalCFv91AoDBresQ6u/p5GhEqq/rOobj6+HKifOprD963tnhiIiIiEgpnbqQyotzUdUAALnESURBVO+HYgAY06PqTm0FSno45KYu9XB3NbP3bCI7Tyc4OxwRERERKYW0TAtfbosE4PaeDZwcjUj15u3uysjO4YDtZjERERERqRqWbDqJYUDfZsE0rO3j7HAuiZIeDgj0dmf4xYLmuoAXERERqRq+23mGpPRsIoK86Nss2NnhiFR7t/doCMBPe6KISVJBcxEREZHKLsti5fPNtpps1eFGMSU9HJTzpn+z4wyJKmguIiIiUul9dnFe2tu6N1ABc5HLoE24P51U0FxERESkyvh5X/TFAuYeXN2m6hYwz6Gkh4O6NaxF81Bf0rJU0FxERESkstsflcjWk/G2AubdVMBc5HK5/WI9RBU0FxEREan8Fl2c1eiWbvVxc6n6KYOqfwSXmQqai4iIiFQdOVOSXt2mDqF+KmAucrmM6BiGn4crJy+ksu6ICpqLiIiIVFa2AuaxAIzpXvWntgIlPcrkpi718XA1s+9sIttPxTs7HBEREREpRFqmha+2qoC5iDN4u7syqks9ABZvPOHkaERERESkKDnTAfdrHkyD2t5OjqZ8KOlRBgHebgzvYCtonnNSiIiIiEjl8u3OMyRlZNMgyJsrmqqAucjlljNCfuWeaM4lpTs5GhERERHJz66AeY/qc6OYkh5llHMSfLvjrAqai4iIiFRCuQXMe0SogLmIE7QO86dzAxU0FxEREamsVu+NJjY5gxA/DwZXgwLmOZT0KKOuDWvRoo6toPnX2yKdHY6IiIiI5LHvbCLbcgqYd41wdjgiNVbOzWJLNp5SQXMRERGRSmbxxRvFRleTAuY5qs+RXGYmkyn3Al4FzUVEREQql5wC5te0rUuIn4eToxGpuUZ0CMfP8//Zu+vwts7zjeP3kWSmkCFgh+MwN9w25ZQxZWZuV9jWbV3b36DbuhVXWJmZuU0pDTMz2GGHY0pMkn5/yHYcx7IlW/Yr+H6uy5ct+Ui6bReOzvO+z+MZaD517S7TcQAAAFBpw+5iTVmzS5YlXRgmA8yrUPRogrOHeAaar8wr1AIGmgMAAASF/WUV1TtxLwqjvrRAKIqLtuucIZ6B5sxDBAAACB7vztkkSTqyZ6oy24THAPMqFD2aICU+SqcN7CDp4GpCAAAAmPXlom0qLK1Q57bxGtO9rek4QMS7aKSn+DhpOQPNAQAAgkFZhUsfzPUUPcJpgHkVih5NdHHlCfyXi7cq/wADzQEAAEyr6kt70YgsBpgDQaB3RrKGVg40/2AuA80BAABM+2HFdu0qKlNqUoyO65NmOk7AUfRooqFZrdQ7I0kl5S59Mp8TeAAAAJOWbc3Xwk37FGW3dN6wTqbjAKh08cjOkjwtrpwMNAcAADDqrVkbJEkXDM8MqwHmVcLvJ2phlmVV7/Z4k4HmAAAARr058+AA83aJDDAHgsVpA9srJS5Km/ce0K+rd5qOAwAAELHW7yzStLW7PQPMR2SajtMsKHoEwNlDOio+2q61O4o0K2eP6TgAAAARqbCkXJ8t9Awwv3RUZ8NpANQUG2Wv3n315swNhtMAAABErrcqZ1Mfm52mTq3Da4B5FYoeAZAUG6UzB3eUdPAfGgAAALSsTxZs0f4yp3qmJWpk1zam4wCopWqH/E+rdmjz3v2G0wAAAESeknKnPpznGdFwyajwG2BehaJHgFxSeQL/7dJt2llYajgNAABAZHG73dWrxy8ZmSXLYoA5EGy6pyZqTPe2cruld2dvMh0HAAAg4ny5eJvyD5SrY6s4Hd0r/AaYV6HoESD9O6ZocGYrlTvden8uJ/AAAAAtae6GvVq9vUhxUXadPZQB5kCwqmo99+6cTSqrcBlOAwAAEFmqFopdPDJLdlv4LhSj6BFAVSfwb8/aKKeLgeYAAAAtperk/YxBHZQSF2U4DQBvTuibrrSkGO0qKtX3y/NMxwEAAIgYS7fka+GmfYqyW7rgiPAcYF6FokcAnTawvVLiorRl3wFNXr3DdBwAAICIsLuoVN8s8Vw8ZYA5ENyi7DZdWPkmm4HmAAAALeetWZ5zrwn926tdYozhNM2LokcAxUbZNXGYp53CmzMZaA4AANAS3p+7WWVOlwZ1StGATimm4wBowIUjsmSzpJnr92jtjkLTcQAAAMJeQUm5Pl2wVZJ06cjwHWBehaJHgF1Subrw51U7tHnvfsNpAAAAwpvL5dbbsysHmLPLAwgJHVrF6dje6ZJYLAYAANASPpm/RQfKneqZlqgRXduYjtPsKHoEWNd2CRrXo53cbumd2ZzAAwAANKfJa3Zq054DSo516PSBHUzHAeCjS0d5Vhh+NH+z9pdVGE4DAAAQvtxud3Vb0UtGZsmywneAeRWKHs2g6gT+vTmbVFbhMpwGAAAgfL1VefJ+3rBMxUXbDacB4KujeqYqq028Cksq9OWibabjAAAAhK05uXu1ZkeR4qLsOqdyNEO4o+jRDI7rk660pBjtKirTd8vyTMcBAAAIS1v2HdBPK3dIki6OgL60QDix2azqf2/fnMVAcwAAgOZStcvjzMEdlBwbZThNy6Do0Qyi7DZdOKLyBH4mJ/AAAADN4Z1ZG+VyS6O7tVWPtETTcQD4aeKwToq227R4c74Wb95nOg4AAEDY2VVUqm+WenbVXhpBMxApejSTi0Zkym6zNCtnj9buKDQdBwAAIKyUO116d84mSZF18g6Ek7aJMTplQIYkFosBAAA0h/fnblK5061Bma3Uv2OK6TgthqJHM2mfEqfjeqdJkt6cyUBzAACAQPp+2XbtKipValKMTuyXbjoOgEa6pLJo+fmircrfX244DQAAQPhwutx6e5bnuvQlEdYOmKJHM6padfjR/M0qLq0wnAYAACB8vDEzV5J04RGZirJzSguEquGdW6t3RpJKyl36cP5m03EAAADCxuTVO7R57wElxzp0+sAOpuO0KN4hNqNxPdqpS9t4FZZU6NOFW0zHAQAACAur8go1c/0e2SzpohGRtWIJCDeWZVUvFntz5ga5XG7DiQAAAMLD6zM87UPPH56puGi74TQti6JHM7LZDp7AvzFjg9xuTuABAACaqmqXxwl909WhVZzZMACa7OwhHZUU41DOrmJNXbvLdBwAAICQt2F3sSav3ikpMmcgUvRoZhOHZSouyq6VeYWak7vXdBwAAICQVlhSrk/me3bQXjG6i9kwAAIiIcahc4d1knRwRSIAAAAa782ZG+R2S0f3SlWXdgmm47Q4ih7NLCU+SmcN8fRMe31GrtkwAAAAIe7j+VtUXOZUj7REje7e1nQcAAFStQLxp5XbtWnPfsNpAAAAQteBMqfen+uZlXb56Mjb5SFR9GgRl43qIkn6dmmedhSUmA0DAAAQotxut96Y6VkFftmozrIsy3AiAIHSIy1RY3u0lcstvTVro+k4AAAAIevzRVuUf6BcnVrHaXx2muk4RlD0aAF9OyRreOfWqnC59c7sTabjAAAAhKQZ63Zr7Y4iJUTbdc7QjqbjAAiwyytb1r03Z6NKyp1mwwAAAIQgt9td3S70slGdZbdF5kIxih4t5LLKrURvzdqgcqfLcBoAAIDQU3XyfvbQjkqKjTKcBkCgHdc7TR1SYrV3f7m+WrzNdBwAAICQM3/jPi3bWqAYh03nD880HccYih4t5OT+7dUuMUY7Ckv1/bLtpuMAAACElG35BzRphecc6nIGmANhyWG36ZLK2R6vz2SgOQAAgL/eqJwpffqgDmqdEG02jEEUPVpItMOmi0Z4qmsMNAcAAPDP27M2yulya2TXNuqVnmQ6DoBmcsERmYq227Ro0z4t3rzPdBwAAICQsauoVF8vyZMUuQPMq1D0aEEXj8yS3WZpVs4ercorNB0HAAAgJJRWOPXObM9gY3Z5AOGtXWKMThmQIelgSzsAAAA07L05m1TmdGlQZisN7NTKdByjKHq0oPYpcTqxb7ok6Y2ZuWbDAAAAhIhvl+ZpV1GZ0pNjdGK/dNNxADSzyyqLm18s2qq9xWVmwwAAAISACqdLb1W2B718VGTv8pAoerS4qoHmH8/fooKScsNpAAAAgl/Vau+LR3RWlJ3TVyDcDc1qpX4dklVa4dL7czeZjgMAABD0fly5Q1vzS9QmIVqnDmxvOo5xvGtsYaO7tVXPtETtL3Pq43mbTccBAAAIasu25mvehr1y2Kzq+WgAwptlWdV9qN+ctUFOl9twIgAAgOD2RuVCsfOHZyo2ym44jXkUPVqYZVnVuz3emLlBbjcn8AAAAN5UnbxP6J+htORYw2kAtJQzBnVUSlyUNu05oMmrd5iOAwAAELTW7ijS1LW7ZFnSJSOzTMcJChQ9DDh7SEclRNu1bmexpq3dbToOAABAUMrfX65PF26RxABzINLERdt1/vBOkqTXpjPQHAAAwJs3K2d5HNc7XZlt4g2nCQ4UPQxIio3SucMqT+Bn5JoNAwAAEKTem7tRJeUu9c5I0hFdWpuOA6CFXTqqsyxLmrx6p9bvLDIdBwAAIOgUlpTrw8oRClXtQUHRw5iq1Yo/rNiuTXv2mw0DAAAQZJwud/UA86vGdpFlWYYTAWhpndsm6NjsNEmq/u8BAAAADvpo3mYVlVaoe2qCjuzZznScoEHRw5AeaYk6smc7ud2e2R4AAAA46McV27V57wG1io/SmYM7mo4DwJArx3aRJH04b7MKS8rNhgEAAAgirhoLxa4cw0Kxmih6GHRV5Qn8u7M3an9ZhdkwAAAAQaSqBeiFR2QpNspuNgwAY8b1aKfuqQkqKq3QR5WtGwAAACBNWbtL63cVKynGoXOGdjIdJ6hQ9DBofK80dW4br4KSCn26YKvpOAAAAEFh9fZCTVu7WzZLunRUluk4AAyyLEtXjukiydPiyuVymw0EAAAQJF6dliNJmjg8UwkxDsNpggtFD4NsNqt6tser03PkdnMCDwAA8Nr0XEnSiX0z1Kl1vNkwAIw7Z2gnJcU4tH5XsX5ds9N0HAAAAONydhXr51U7ZVkMMK8LRQ/DJg7vpPhou1ZvL9KM9btNxwEAADAqf3+5Pp6/RZJ0ReXqbgCRLSHGoYnDMyUdLIoCAABEstcr2wEfk52mLu0SzIYJQhQ9DEuOjdK5lT3XXp2WazYMAACAYR/M26QD5U71zkjSqG5tTMcBECQuH91ZliX9vGqncnYVm44DAABgTFFphT6c65l1xkKxulH0CAJXjPFsQfphxXZt2rPfcBoAAAAznC539QDzK8Z0kWVZZgMBCBpd2iXomOw0SQdXNgIAAESij+dvVmFphbqlJujIHu1MxwlKFD2CQI+0JB3Zs51cbunNmRtMxwEAADDi55U7tGnPAaXERemswR1NxwEQZKpWMn4wd7OKSivMhgEAADDA5XJXt/u8YnQX2WwsFKsLRY8gcUXlQPN352zSgTKn2TAAAAAGvFp58n7hEZmKi7abDQMg6BzZo526pSaoqLRCH8/fbDoOAABAi5u6dpfW7SxWYoxD5w7rZDpO0KLoESSO6Z2mrDbxyj9Qrk8XbjEdBwAAoEWt2V6oqWt3yWZJl47qbDoOgCBks1nVi8VenZ4rl8ttNhAAAEALq9rlcd6wTkqMcZgNE8QoegQJu83S5aM9b/Bfm54rt5sTeAAAEDmqZnkc3yddmW3izYYBELTOrXyDv35nsaau3WU6DgAAQIvZsLtYP63aIYkB5g2h6BFEJg7PVFyUXSvzCjVz/R7TcQAAAFpE/oFyfTTPs9P1yrFdzIYBENQSYxw6r7KVQ1VLPAAAgEjw+owNcrul8dmp6touwXScoEbRI4ikxEXpnKGeoZ2vTs8xnAYAAKBlfDB3kw6UO5WdnqTR3dqajgMgyFWtbPx51Q7l7io2GwYAAKAFFJdW6P25myRJV7LLo0F+FT0efvhhHXHEEUpKSlJaWprOOussrVq16pBjSkpKdMstt6ht27ZKTEzUueeeq+3btwc0dDir+od20vLt2rRnv9kwAAAAzczpclev1r5iTBdZlmU2EBAAvG9qXl3bJeiY7FS53ez2AAAAkeGj+ZtVWFKhbu0SdFTPVNNxgp5fRY/Jkyfrlltu0cyZMzVp0iSVl5frxBNPVHHxwdU1v/nNb/TFF1/ogw8+0OTJk7V161adc845AQ8ernqmJ+moXqlyuQ8OpgEAAAhXk5Zv1+a9B9Q6/uCOVyDU8b6p+V09rqskz06xgpJyw2kAAACaj8vl1ivTciVJV43tIpuNhWINsdxNmJi9c+dOpaWlafLkyTrqqKOUn5+v1NRUvf322zrvvPMkSStXrlSfPn00Y8YMjRo16rDnKC0tVWlpafXtgoICZWZmKj8/X8nJyY2NFtJ+WbVDV74yR0kxDs34w3FKjHGYjgQAANAszv/fDM3O2aNbjumue0/qbTqOMQUFBUpJSYnoc+BwxvumwHO73TrxsV+1ZkeR/nRqH117ZDfTkQAAAJrFTyu36+pX5yo51qEZ9x2nhAi9VuzPe6YmzfTIz8+XJLVp00aSNG/ePJWXl+v444+vPqZ3797KysrSjBkz6nyOhx9+WCkpKdUfmZmZTYkUFo7qmaruqQkqLK3Qh5W92gAAAMLN0i35mp2zRw6bpctGdTEdB2g2vG8KPMuyqnd7vDo9V05Xo9fyAQAABLWXp+ZKki4akRWxBQ9/Nbro4XK5dOedd2rs2LHq37+/JCkvL0/R0dFq1arVIcemp6crLy+vzue57777lJ+fX/2xaRMX+W02S1eN9ZzAvzI9Vy5O4AEAQBh6eVqOJOnUge2VkRJrOA3QPHjf1HzOHtJRreOjtHnvAU1azjwUAAAQflblFWrq2l2y2yxdzgBznzW66HHLLbdo6dKlevfdd5sUICYmRsnJyYd8QDpnaEelxEVpw+79+mnlDtNxAAAAAmpHYYm+WLRVkqoXewDhiPdNzSc2yq6LRmRJOlhEBQAACCevVJ7jnNQvXR1bxRlOEzoaVfS49dZb9eWXX+rnn39Wp06dqu/PyMhQWVmZ9u3bd8jx27dvV0ZGRpOCRpr4aAcn8AAAIGy9OXOjyp1uDevcWoMzW5mOAzQL3jc1v8tGd5bDZml2zh4t3ZJvOg4AAEDA7C4q1ccLtkiSrmahmF/8Knq43W7deuut+uSTT/TTTz+pa9dDf9nDhg1TVFSUfvzxx+r7Vq1apY0bN2r06NGBSRxBLh/dWXabpenrdmvFtgLTcQAAAAKipNypt2ZukCRdNbaL2TBAM+B9U8tpnxKnUwa0l8RiMQAAEF7emb1RZRUuDeyUomGdW5uOE1L8KnrccsstevPNN/X2228rKSlJeXl5ysvL04EDByRJKSkpuuaaa3TXXXfp559/1rx583TVVVdp9OjRGjVqVLP8AOGsQ6s4TejvWen1CifwAAAgTHy+aKt2F5epQ0qsJvRjVTvCD++bWlbVQPMvFm3VjsISw2kAAACarqzCpddneBaKXT22qyzLMpwotPhV9Hj22WeVn5+v8ePHq3379tUf7733XvUxjz32mE477TSde+65Ouqoo5SRkaGPP/444MEjRdXWpU8XbtWuolLDaQAAAJrG7Xbr5amexRyXj+kih73RI+aAoMX7ppY1OLOVhma1UrnTrTdnbjQdBwAAoMm+XrJNOwpLlZYUU72rFb5z+HOw2+1u8JjY2Fg9/fTTevrppxsdCgcNzWqlQZmttGjTPr09a6NuP66n6UgAAACNNmP9bq3MK1RclF0XHpFpOg7QLHjf1PKuHtdV899eoLdmbtDN47srNspuOhIAAECjuN3u6radl4/urGgHC8X8xW8syFmWpasre12/MXODSiucZgMBAAA0wctTcyVJ5w7rqFbx0WbDAAgbE/plqENKrHYXl+nzRVtNxwEAAGi0eRv2avHmfMU4bLpoRJbpOCGJokcIOGVAe6Unx2hnYam+WrzNdBwAAIBGyd1VrB9XbpckXTmmawNHA4DvHHabLh/TRZL08tQcn3bbAAAABKOXKtsBnz2ko9omxhhOE5ooeoSAKLtNl4/uIsnzDz0n8AAAIBS9Oj1Xbrc0PjtVPdISTccBEGYuPCJTcVF2rcwr1Iz1u03HAQAA8NumPfv13bI8SdJVY1ko1lgUPULExSOyFOOwadnWAs3O2WM6DgAAgF/yD5Trg7mbJElXc/IOoBm0io/WucM6SvLs9gAAAAg1r8/IlcstjevRTtkZSabjhCyKHiGidUK0zh3WSZL0IifwAAAgxLw3Z6OKy5zqlZ6oI3u2Mx0HQJiqWhH548odWr+zyHAaAAAA3xWWlOvd2ZULxcZ1MRsmxFH0CCHXjPOcwP+wYrtydhUbTgMAAOCbcqdLr0zLlSRdO66bLMsyGwhA2OqemqjjeqfJ7T7YDxsAACAUvDdnkwpLK9Q9NUHje6WZjhPSKHqEkENP4NebjgMAAOCTr5ds07b8ErVLjNYZgzuYjgMgzF17ZDdJ0kfzN2tPcZnhNAAAAA2rqLlQ7MhustlYKNYUFD1CTNUJ/IfzNmsvJ/AAACDIud1uvTjFs9r68tFdFBtlN5wIQLgb1a2N+nVIVkm5S2/N3GA6DgAAQIO+WZqnLfsOqG1CtM4e0tF0nJBH0SPEHHICP4sTeAAAENxm5ezRki35inHYdOmozqbjAIgAlmXpusrFYq/N2KDSCqfhRAAAAN55Fop5uvpcOqozC8UCgKJHiOEEHgAAhJKqXR7nDuukNgnRhtMAiBSnDmyvjORY7Soq1WcLt5qOAwAA4NXcDXu1aHO+oh02XTaahWKBQNEjBFWdwO8sLNXnnMADAIAgtX5nkX5cuV2SdM24robTAIgkUXabrhzbRZL00pQcud1us4EAAAC8qNrlcc6QjmqXGGM4TXig6BGCDjmBn8oJPAAACE4vT8uR2y0d3ydN3VMTTccBEGEuGpGl+Gi7Vm0v1JQ1u0zHAQAAOEzurmJ9v5yFYoFG0SNEVZ3Ar8zjBB4AAASfvcVl+nDeZknSNeO6GU4DIBKlxEXp/OGZkqQXKldQAgAABJOqhWLjs1PVMz3JdJywQdEjRNU8gX9xao7hNAAAAId6a9YGlZS71L9jskZ1a2M6DoAIdc24rrJZ0pQ1u7Qqr9B0HAAAgGr79pfpg7mehWJVM5wRGBQ9QljVCfyvq3dyAg8AAIJGaYVTr83YIMlz8m5ZluFEACJVZpt4TeifIelgv2wAAIBg8NasjTpQ7lSf9ska072t6ThhhaJHCKt5Av/SVE7gAQBAcPhs4VbtLCxV+5RYnTKgvek4ACJcVYu9zxZu1Y7CEsNpAAAApLIKl16bnitJunZcVxaKBRhFjxBXdQL/6QJO4AEAgHlut1svTfG03rxyTBdF2TndBGDWsM6tNTSrlcqcLr1RuQsNAADApC8WbdWOwlKlJcXo9EEdTMcJO7wLDXGcwAMAgGAyZc0urdpeqIRouy4ckWU6DgBIkq6t7JP95swNOlDmNJwGAABEMrfbXT2j+YoxXRTt4BJ9oPEbDQNVJ/BvzNyg/WUVhtMAAIBI9vyvnpab5x+RqZS4KMNpAMDjpH4ZymwTp737y/XhvE2m4wAAgAg2de0urdhWoLgouy4ZyUKx5kDRIwyc1C9DndvGa9/+cr0/hxN4AABgxtIt+Zq6dpfsNkvXjOtqOg4AVLPbLF1b2Rr4hSk5crrchhMBAIBIVbVQ7IIjMtUqPtpwmvBE0SMM2G1W9W6PF6fmqMLpMpwIAABEohemeE7eTxvYXp1axxtOAwCHmji8k1rFR2njnv36dmme6TgAACACLd2SrylrWCjW3Ch6hImJwzqpTUK0Nu89oG84gQcAAC1s8979+nLxNknS9Ud1M5wGAA4XH+3Q5aO7SJKe/3Wd3G52ewAAgJZVtVDs1AHtldmGhWLNhaJHmIiNsuvy0Z0lSf/jBB4AALSwl6Z62sWM69FO/TqkmI4DAHW6YnRnxThsWrQ5X7Ny9piOAwAAIggLxVoORY8wcvnoLoqNsmnplgLNWLfbdBwAABAh9u0v03uVc8VuOJqTdwDBq21ijCYO7yRJ+t/kdYbTAACASFK1UGxsj7bq35GFYs2JokcYaZMQrfOHZ0qS/lc5EAcAAKC5vTlzg/aXOdW3fbLG9WhnOg4A1Ovacd1kWdLPq3Zq9fZC03EAAEAEyN9fXr1Q7PqjuhtOE/4oeoSZa8d1k82SJq/eqRXbCkzHAQAAYa6k3KlXp2+Q5NmibVmW4UQAUL8u7RI0oV+GJOl5FosBAIAW8OYsz0Kx3hlJOqonC8WaG0WPMJPVNl4n928vSXqBE3gAANDMPlmwRbuKStUhJVanDmxvOg4A+KSqj/ZnC7coL7/EcBoAABDOSsqdemVariRPO2AWijU/ih5hqOoE/vNFW7V13wHDaQAAQLhyudzViyyuObKbouycWgIIDUOyWmtE1zYqd7r1yrQc03EAAEAYq7lQ7LSBHUzHiQi8Mw1DgzJbaVS3NqpwcQIPAACaz6QV27V+V7GSYx268IhM03EAwC83VC4We3vWRhWWlBtOAwAAwpHL5dYLUzwLxa4e15WFYi2E33KYuqFyIM7bszYq/wAn8AAAIPD+N3mdJOnSUZ2VEOMwnAYA/HNMdpp6piWqsLRC78zeaDoOAAAIQz+s2K71O4uVFOvQhSOyTMeJGBQ9wtT47FRlpyepuMypt2dxAg8AAAJrbu4ezd+4T9F2m64c28V0HADwm81m6brK3R4vT81VWYXLcCIAABBu/lfZDvjSUZ2VyEKxFkPRI0xZ1sET+Fem5ai0wmk4EQAACCdVJ+/nDO2otKRYw2kAoHHOHNxB6ckxyiso0eeLtpqOAwAAwsi8DXs0b8NeRdttumpMF9NxIgpFjzB2xqAOykiO1Y7CUn26YIvpOAAAIEys3VGoScu3y7Kka4/sZjoOADRajMOuq8Z2leRp2edyuQ0nAgAA4eLZXzwLxc4e0lFpySwUa0kUPcJYtMOma4/0nMA/N3m9nJzAAwCAAKg6eT+xb7p6pCUaTgMATXPJyCwlxTq0ZkeRfly5w3QcAAAQBlZvL9QPKzwLxa4/moViLY2iR5i7cESWUuKilLOrWN8tyzMdBwAAhLgt+w7os4WeHaQ3je9hOA0ANF1SbJQuG9VZkvTML2vldrNYDAAANM1zk9dJkib0y1D3VBaKtTSKHmEuMcahKyp7xj37yzpO4AEAQJO8OGW9KlxujeneVoMzW5mOAwABcdXYrop22LRg4z7NytljOg4AAAhhm/fu1+cLPbPCbjy6u+E0kYmiRwS4ckwXxUbZtGRLvqat3W06DgAACFF7isv07uxNkqSbxnPyDiB8pCbF6PzhnSR5FosBAAA01otTclThcmtsj7YaxEIxIyh6RIA2CdG68IgsSdKzk9caTgMAAELVa9NzdaDcqf4dkzWuRzvTcQAgoK4/srtsljR59U4t25pvOg4AAAhBu4tK9e6cjZKkm2kHbAxFjwhx7ZFd5bBZmrZ2txZt2mc6DgAACDHFpRV6dXquJOmmo3vIsiyzgQAgwLLaxuu0gR0kSc9NXm84DQAACEWvTc9VSblLAzulaEz3tqbjRCyKHhGiU+t4nTHYcwLPdm0AAOCvd2ZvVP6BcnVpG68J/TNMxwGAZlHVuu+rxVuVu6vYcBoAABBKikor9NqMDZKkm47uzkIxgyh6RJCqwTnfLc/T2h1FhtMAAIBQUVbh0otTciRJNxzdXXYbJ+8AwlOf9sk6JjtVLrf0/BR2ewAAAN+9W7lQrFu7BJ3Yj4ViJlH0iCC90pN0Qt90ud3S87+y2wMAAPjm04VblFdQorSkGJ0ztKPpOADQrG6q7L/94dzN2lFQYjgNAAAIBaUVTr1QuWDihqO7sVDMMIoeEaZqu/YnC7ZoW/4Bw2kAAECwc7ncem6yZ7HEtUd2VYzDbjgRADSvI7q01rDOrVXmdOnlabmm4wAAgBDw2YKt2l5QqozkWJ01hIViplH0iDBDs1prZNc2Kne69VJlmwoAAABvvl++Xet3Fis51qGLRmSZjgMAzc6yLN1U2Rr4zZkblH+g3HAiAAAQzJwsFAs6FD0iUNVuj7dnb9Te4jLDaQAAQLByu9169pe1kqTLR3dRUmyU4UQA0DKO7Z2mXumJKiqt0JszN5iOAwAAgtj3y/K0flexUuKidCELxYICRY8IdHSvVPVpn6z9ZU69NiPXdBwAABCkZqzbrUWb8xXjsOnKsV1MxwGAFmOzWbqxcrfHK9NyVFLuNJwIAAAEI7fbrWcrd3lcMbqzEmMchhNBougRkSzLqt7t8er0XBWXVhhOBAAAgtF/f/bs8rjgiEy1S4wxnAYAWtbpgzqoY6s47Soq03tzNpmOAwAAgtCUNbu0eHO+YqNsumJMF9NxUImiR4Q6dUB7dW2XoH37y/XWLLZrAwCAQ83fuFfT1+2Ww2bphsrVzgAQSaLsNt14dDdJ0v8mr1NZhctwIgAAEGyqFopdPKKz2rJQLGhQ9IhQdtvB3R4vTGG7NgAAONTTP3lO3s8e0lEdW8UZTgMAZkwcnqnUpBhtzS/RJws2m44DAACCyOycPZqds0fRdpuuP6qb6TiogaJHBKu6iLGzsFTvz2W7NgAA8Fi2NV8/rtwhm6XqRRIAEIlio+y6/kjPRYxnf1mnCie7PQAAgEfVLo/zhndSRkqs4TSoiaJHBIuy23RD9Xbt9SrnBB4AAEh65mfPIL5TB3ZQt9REw2kAwKyLR2apVXyUcnfv11dLtpmOAwAAgsDizfv06+qdnm46tAMOOhQ9Itz5wz2DSbfsO6BPFmwxHQcAABi2dkeRvl7quah3yzGcvANAQoxDV4/tKslTFHa53IYTAQAA056u3OVx5qAOymwTbzgNaqPoEeFio+y6/ijPCfyzv6yTkxN4AAAi2rO/rJPbLR3fJ129M5JNxwGAoHDF6C5KjHFo1fZC/bBiu+k4AADAoNXbC/Xdsu2yLOlmFooFJYoe0CUjO6tVfJRydhXra7ZrAwAQsTbt2a9PF3p2ft56bA/DaQAgeKTER+my0Z0lefp3u90sFgMAIFJV7fKY0C9DPdKSDKdBXSh6QAkxDl01xrPb4+mf17JdGwCACPXcZM+uz3E92mlwZivTcQAgqFwzrqtio2xavDlfU9bsMh0HAAAYkLurWF8s2ipJuuUYFooFK4oekCRdOcazXXtlXqF+XLnDdBwAANDCtheU6IO5myWxywMA6tIuMUYXjciS5NntAQAAIs9zk9fJ5ZaOyU5V/44ppuPAC4oekMR2bQAAIt0Lv65XmdOl4Z1ba2TXNqbjAEBQuv6oboqyW5qds0dzcveYjgMAAFrQ1n0H9NF8FoqFAooeqFa1XXvRpn2atna36TgAAKCF7Cku01uzNkqSbjm2hyzLMpwIAIJT+5Q4nTeskyTpvz+x2wMAgEjy/K/rVe50a1S3NhrWmYViwYyiB6q1S4zRhUdUbddeYzgNAABoKa9My9GBcqf6d0zW+F6ppuMAQFC78ejuslnS5NU7tXjzPtNxAABAC9hZWKp3ZnsWit16TE/DadAQih44xA1He7Zrz1y/R7Nz2K4NAEC4yz9Qrlen5UqSbhnPLg8AaEjntgk6Y1AHSdJT7PYAACAivDh1vUorXBqU2Upje7Q1HQcNoOiBQ3i2a2dKkp76id0eAACEu1en5aqwtEK90hN1Ur8M03EAICTcemwPWZY0afl2Ld9aYDoOAABoRnuKy/TGjA2SpNtpBxwSKHrgMDeP7y6HzdKUNbs0b8Ne03EAAEAzKSgp10tT10uSbju2p2w2Tt4BwBc90pJ06oD2klgsBgBAuHtxynrtL/O0Az62d5rpOPABRQ8cJrNNvM4d6hnO9+SPnMADABCuXp+eq4KSCnVPTdAplRfvAAC+ue1YTz/vb5bmaVVeoeE0AACgOezbX6bXpudKkm4/tie7PEIERQ/U6ZZjeshuszR59U4t3LTPdBwAABBgRaUVenFqjiTp9uN6ys4uDwDwS3ZGkk4Z4GkLyG4PAADC00tTc1Rc5lSf9sk6oW+66TjwEUUP1CmrbbzOHtJRkvQUuz0AAAg7b8zYoH37y9WtXYJOG9jBdBwACEm3HuPZ7fHVkm1as53dHgAAhJP8/eV6dVquJOmO45jlEUooesCrW47pIZsl/bhyh5ZszjcdBwAABEhxaYVemOKZ5VG1uxMA4L++HZJ1Yt90ud3Sf39eazoOAAAIoFem56iwtELZ6Uk6sW+G6TjwA0UPeNW1XYLOHOzZ7fEk27UBAAgbb83aoD3FZercNl5nDmaXBwA0xe3HeXZ7fLFoq9btLDKcBgAABEJBSblermwHfNtxPWRjoVhIoeiBet16bA9ZljRp+XYt28puDwAAQt2BMqee//XgLg+HndNBAGiK/h1TdHyfNLnc0tPs9gAAICy8Ni1XBSUV6pmWqFP6tzcdB37iXS7q1T01UadX9vl+6kdO4AEACHVvzdqgXUVlymwTVz2/CwDQNFW7PT5buFW5u4oNpwEAAE1RWFKuFyt3edx6LLs8QhFFDzTotsrdHt8uy9PKvALTcQAAQCOVlDv1v6pdHuN7KIpdHgAQEAM7tdIx2alyutzs9gAAIMS9PmOD8g+Uq1tqgk4bSDvgUMQ7XTSoZ3qSThng2cb11E+cwAMAEKrenb1ROwtL1bFVnM4Z2sl0HAAIK1W7PT5esEWb9uw3nAYAADRGcWmFXpziWSh227E9ZGeXR0jyu+jx66+/6vTTT1eHDh1kWZY+/fTTQ75/5ZVXyrKsQz4mTJgQqLww5LZje0iSvl6yTWu2FxpOAwAA/FVS7tSzk9dJkm4+pruiHax9AZoL75ki05Cs1jqqF7s9AAAIZW/M3KC9+8vVpW18dct/hB6/3+0WFxdr0KBBevrpp70eM2HCBG3btq3645133mlSSJjXOyNZE/plyO2Wnvhxjek4AADAT+/P3aTtBaVqnxKr84axywNoTrxnilx3HOdZLPbhvM3s9gAAIMQUl1bohap2wMf0kIN2wCHL4e8DTj75ZJ188sn1HhMTE6OMjIxGh0Jwuv24nvp2WZ6+WrJNt+UVKjsjyXQkAADgg5JyZ/Wq45vHd1eMw244ERDeeM8UuYZ1bqMje7bTlDW79N+f1uqf5w00HQkAAPjo9RkbtLu4TJ3bxuusIR1Nx0ETNEu56pdfflFaWpqys7N10003affu3V6PLS0tVUFBwSEfCE59OyTrlAFVuz1Wm44DAAB89Pasjdpe4Jnlcf4RmabjAJB/75kk3jeFkjuP7yVJ+nD+Zm3YXWw4DQAA8EVRaYWe/9XTDvj2Y3sqil0eIS3gf70JEybo9ddf148//qh//vOfmjx5sk4++WQ5nc46j3/44YeVkpJS/ZGZyRvxYHbHcb1kWdLXS/K0YhtvtAAACHYHyg7O8rjlmB7s8gCCgL/vmSTeN4WSYZ1b6+jK2R5P/cRsDwAAQsFr03O1d3+5urZL0JmDmeUR6gJe9Ljwwgt1xhlnaMCAATrrrLP05Zdfas6cOfrll1/qPP6+++5Tfn5+9cemTZsCHQkBlJ2RpFMHtJckPf4Duz0AAAh2b83aoJ2FperUOo5ZHkCQ8Pc9k8T7plDzmxM8uz0+nr9ZObvY7QEAQDArKCnX85WzPO44riezPMJAs/8Fu3Xrpnbt2mnt2rpXuMTExCg5OfmQDwS3O4/vKcuSvlu2XUu35JuOAwAAvNhfVqFnfzm4RTvawck7EIwaes8k8b4p1AzObKVje6fJ5Zae/HGN6TgAAKAer07LVf6BcnVPTdDpg9jlEQ6a/Z3v5s2btXv3brVv3765XwotpEdaks6s/A/A4z9wAg8AQLB6o3IQX1abeJ09lEF8QLDiPVN4+k3lbI/PFm7R2h1FhtMAAIC65B8o1wtTKnd5HN9LdptlOBECwe+iR1FRkRYuXKiFCxdKknJycrRw4UJt3LhRRUVFuvfeezVz5kzl5ubqxx9/1JlnnqkePXropJNOCnR2GHT7cT1ls6QfVmzX4s37TMcBAAC1FJVW6LnKWR63H8cgPqAl8Z4JkjSgU4pO6JvObg8AAILYS1NzVFhSoV7pidUt/RH6/H73O3fuXA0ZMkRDhgyRJN11110aMmSI/vznP8tut2vx4sU644wz1KtXL11zzTUaNmyYpkyZopiYmICHhzndUhN11hDPitHHJjHbAwCAYFNzEN9ZDOIDWhTvmVDlzuN7SpK+WLxVq7cXGk4DAABq2re/TK9MzZEk3ckuj7Di8PcB48ePl9vt9vr97777rkmBEDpuP7anPlu4VT+v2qkFG/dqSFZr05EAAICkwpKDW7RvP64Hg/iAFsZ7JlTp1yFFE/pl6NtleXrixzV6+uKhpiMBAIBKL07JUWFphXpnJGlCvwzTcRBAvANGo3Vpl6BzK/uDP8ZsDwAAgsar03K1b3+5uqUm6IxBzPIAAJPuqNzt8dXibVqZV2A4DQAAkKS9xWV6ZdrBXR42dnmEFYoeaJLbju0ph83Sr6t3at6GPabjAAAQ8Q4ZxHdcT7ZoA4BhfdonV/cIf3wSi8UAAAgGz09Zr+Iyp/p1SNZJ/dJNx0GAUfRAk2S2idfE4Z0kSY8y2wMAAONemZajgpIK9UxL1GkDmeUBAMHgjuN7yrKkb5fladnWfNNxAACIaLuLSvXa9FxJ0m+O7yXLYqFYuKHogSa75ZgeirJbmrZ2t2as2206DgAAEWtvcZlenOLZon3H8ezyAIBg0Ss9qboQ/RiLxQAAMOq5yeu0v8ypgZ1SdFyfNNNx0AwoeqDJOrWO14VHZEmS/v39qnqHNgIAgObz3K/rVFRaoT7tk3VK//am4wAAarjz+J6yWdIPK3Zo/sa9puMAABCR8vJL9NqMDZKku05gl0e4ouiBgLjt2B6KjbJp3oa9+mXVTtNxAACIODsKSqq3aN9zIoP4ACDYdE9N1LlDPa2B//3dKsNpAACITE/9tEZlFS4d0aW1ju6VajoOmglFDwREWnKsrhjdRZJnt4fLxW4PAABa0tM/r1VJuUtDslrp2N5s0QaAYHT7cT0VZbc0fd1uTV+7y3QcAAAiysbd+/XenE2SpHtOzGaXRxij6IGAufHo7kqMcWjZ1gJ9uyzPdBwAACLG5r379fbsjZKkezl5B4CgldkmXheP8LQGfoTWwAAAtKjHf1ytCpdbR/VK1chubU3HQTOi6IGAaZ0QrWvGdZUk/ef7VXKy2wMAgBbxxA9rVO50a0z3thrTo53pOACAetxS2Rp4wcZ9+mnlDtNxAACICGt3FOrTBVskedoBI7xR9EBAXXtkV7WKj9K6ncX6pPI/JAAAoPms21mkj+ZvliTdc1K24TQAgIakJcXqijFdJEn//n41rYEBAGgBj05aLZdbOqlfugZ2amU6DpoZRQ8EVFJslG48ursk6fEfVquswmU4EQAA4e2xypP34/ukaWhWa9NxAAA+uPGo7kqKcWjFtgJ9vXSb6TgAAIS1pVvy9fWSPFmWdPeJLBSLBBQ9EHBXjO6i1KQYbd57QO/N3WQ6DgAAYWv51gJ9udhzseyuEzh5B4BQ0TohWtcc6WkN/Oik1apwslgMAIDm8u/vV0mSzhzUQb3SkwynQUug6IGAi4u267Zje0iS/vvTGpWUOw0nAgAgPD06yXPyftrA9urbIdlwGgCAP64Z11Wt46O0ntbAAAA0m7m5e/TLqp1y2CzdeTyzPCIFRQ80iwuPyFLHVnHaXlCqN2ZsMB0HAICwM3/jXv2wYofsNkt3ncDJOwCEmqTYKN003tMa+Ikf19AaGACAAHO73XrkO89CsYnDM9WlXYLhRGgpFD3QLKIdNt1xfE9J0jO/rFVhSbnhRAAAhJd/V568nzu0o7qlJhpOAwBojMtHd1FaVWvgORtNxwEAIKxMXbtLs3L2KNph0+3H9TAdBy2IogeazTlDOqpbaoL27i/XS1NzTMcBACBsTFu7S9PX7VaU3dLtx/U0HQcA0EixUQdbAz/101odKKM1MAAAgeB2u6sXil06srPap8QZToSWRNEDzcZht1W323jh1/XaVVRqOBEAAKHP7Xbrn9+ulCRdMrKzOrWON5wIANAUFxyRpcw2cdpRWKqXp7FYDACAQPhmaZ4Wbc5XQrRdNx/T3XQctDCKHmhWp/RvrwEdU1Rc5tTTP681HQcAgJD3zdI8La48eb/1WLZoA0Coi3bYdPcJ2ZKk5yav0779ZYYTAQAQ2iqcrupdHtce2U3tEmMMJ0JLo+iBZmWzWfrdhN6SpLdmbtSmPfsNJwIAIHRx8g4A4emMQR3Up32yCksq9Mwv60zHAQAgpL0/d7PW7ypW24RoXXdUN9NxYABFDzS7cT3baVyPdipzuvTYpNWm4wAAELKqTt7bcPIOAGHFZrP02wme3R6vTs/VtvwDhhMBABCaDpQ59cSPnuuPtx7bQ4kxDsOJYAJFD7SIqhP4TxZu0YptBYbTAAAQeg6UOfX4D5Un78dw8g4A4WZ8r1SN6NpGZRUuPT5pjek4AACEpFen52p7Qak6tY7TxSOzTMeBIRQ90CIGdmqlUwe0l9stPVLZlgMAAPjulek52lHoOXm/ZBQn7wAQbizL0u9P9rQG/mDeJq3dUWg4EQAAoSV/f7me/cUzU/iuE3opxmE3nAimUPRAi7n7xF6y2yz9tHKHZufsMR0HAICQkb+/XM9V9njn5B0AwtfQrNY6sW+6XCwWAwDAb89MXquCkgr1zkjSmYM7mo4Dgyh6oMV0S03UBUdkSpL+8c0Kud1uw4kAAAgNnLwDQOT47YRs2Szpu2XbNX/jXtNxAAAICdvyD+jVabmSPP8vtdsss4FgFEUPtKg7juup2Cib5m/cp0nLt5uOAwBA0OPkHQAiS4+0JJ03rJMk6Z/frGSxGAAAPnjihzUqrXBpRJc2OiY7zXQcGEbRAy0qPTlWV4/tKsmzXdvp4gQeAID6cPIOAJHnzuN7Kdph06ycPfpl9U7TcQAACGprdxTp/bmbJEm/OzlblsVCsUhH0QMt7oajuyslLkprdhTpo/mbTccBACBoHXry3puTdwCIEB1axemK0Z0lSf/6dpVcLBYDAMCrf3+3Si63dHyfdA3r3MZ0HAQBih5ocSlxUbrlmO6SpMcmrVZJudNwIgAAglPVyfsJfdM1rHNr03EAAC3o5vE9lBTj0IptBfps0RbTcQAACEoLNu7Vt8vyZLM87YABiaIHDLl8dBd1SInVtvwSvVLZpxwAABw0N3dP9cn7vSdx8g4AkaZ1QrRuHO9ZLPbv71gsBgBAbW63W3//eoUk6ZyhndQrPclwIgQLih4wIjbKrrtP9FzAeebntdpTXGY4EQAAwaPmyfsFR2Ry8g4AEerqsV2VkRyrLfsO6PUZuabjAAAQVCYt3645uXsVG2XT3Sf2Mh0HQYSiB4w5a0hH9WmfrMLSCj354xrTcQAACBrfLM3T/I37FBdl12+O5+QdACJVXLS9+iLOf39aq337WSwGAIAklTtd+se3KyVJ14zrqvYpcYYTIZhQ9IAxdpulP5zSW5L05swNyt1VbDgRAADmlVW49K/Kk/frjuqmtORYw4kAACadM7STemckqaCkQk/9tNZ0HAAAgsK7czZp/c5itUmI1o1HdzcdB0GGogeMOrJnqo7qlaoKl1uPfLfKdBwAAIx7e9YG5e7er3aJMbrhqG6m4wAADLPbLN13Sh9J0uszcrVx937DiQAAMKuotEJP/LBaknTHcT2VFBtlOBGCDUUPGHffyb1lWdJXS7Zp/sa9puMAAGBMQUm5nqhs+fibE3oqIcZhOBEAIBgc3StVR/Zsp3KnW//6bqXpOAAAGPW/yeu0q6hMXdsl6OKRWabjIAhR9IBxfdon67yhnSRJf/9qhdxut+FEAACY8ewv67R3f7m6pyboguGZpuMAAILIfSf3kWVJXy7epoWb9pmOAwCAEdsLSvTClPWSpN9NyFaUncvbOBz/VCAo3HViL8VG2TR3w159t2y76TgAALS4rfsO6OWpOZKk35/cRw5O3gEANfTtkKxzhlQuFvuaxWIAgMj06PerVVLu0vDOrXVSvwzTcRCk6JmAoNA+JU7XjOuqp39ep399u1LH9UmjUgsACE8ul+Qql1wVkrPys6tCL321WK0rdiqra08d3yfNdEoAQBC656Re+mbxJuXkrNev85N0dK9U05EAAGgxa3cW6ed5SxStBN13Sh9ZlmU6EoIURQ8EjRuP7q53Z2/S+l3Fenf2Rl02uovpSAAAE9zu6kJAzaLAIV9X3y6XXM4a3yuXnBU1vq78fh1FhkO+59NzV3h/HVdF5e2aX3s5zu2q88e+X9L50Z104JRpnLwDAOrUPiVOdw6P0fULb5a+MJ0GAICW1UPS7Bjp6Q5/17DOrU3HQRCj6IGgkRQbpTuO76k/f7ZMj/+wRmcN6aik2CjTsQAgOFXtFmhUIaC+i/UNFQL8eJ3q7/lQCKiZwVVh+rfb4lyyVO62Kz4uVtmZrUzHAQAEsYtGZsm50Ca53bIsSzbq5ACACOCW5HJ5WjueO5T5h6gfRQ8ElYtGZOnVablav6tYz01ep3tP6m06EoBQ5ctuAZ9X7QdBIaB2HkVgH2+bQ7JFeT7bHQdv1/y6+ntVX1d+rv7aXvmYGvfXeVztrysfa48KQIZDv/5l7V5d+eo8Rdkt/Xj9eNO/ZQBAkEtqn61XT5ivB79YrnaJ0fr5nvEsFgMAhDWny63Tn5qq5dsKdOWYLnpweD/TkRDkKHogqETZbfrdyb11wxvz9MKUHF00IkudWsebjgWEL5fTj4v19bXvaaiFUANtgnwtBBz2OvUUJtxO07/dlmfZ6rnoXvNiv93nC/KH3q554b+ui/11FQW8ZWhEwSEMWz5VOF3629erJElXjO6irLb8Pw8A0LCLR3bW6zM2aP2uYj3zyzr9bgKLxQAA4eujeZu1fFuBkmIduv24nqbjIARQ9EDQObFvukZ1a6OZ6/fon9+u0lMXDTEdCZGsardAoy7WN1QIaGDnQXMUAmrnicjdAs2wA6DBC/8O+VZwqC9DQwUHh2Szmf7twk/vzN6oNTuK1Do+Srdx8g4A8FG0w6b7Tumj616fq5em5ujiEVnKbEPhHAAQfopKK/TI956FYrcf21NtEqINJ0IooOiBoGNZlu4/ra9Oe2qqvli0VVeO6cJwomBXe3dAoy/W+1sI8Gd4sR+FgJqvG5G7Bey+7wDw2vqngYvz9tpf+1oUaGLBwbKF5W4BhKb8A+V6dNJqSdJvTuillDhakwAAfHd8nzSN6d5W09ft1j++XamnLx5qOhIAAAH33C/rtLOwVJ3bxuvyMZ1Nx0GIoOiBoNSvQ4omDuuk9+du1l++XK6PbxojWyhP6Dtkt4C/F+t92B3QLMOL/cgQcbsFrEZe7G/KPIA6dgA0djdAfc9t2dktALSQ//60Rnv3l6tHWqIuHpFlOg4AIMRYlqU/ndpXpz41RV8t3qarxuzR8C5tTMcCACBgtuw7oBemrJck3XdyH8U47IYTIVRQ9EDQuufEbH25eJtWbNqhn6bP0PHZ7Xy8WF9fIcDfwcFNKATU/DoSdwvYAnGxP8DzAAI2gJj/yQJomtxdxXp1eq4k6Y+n9pHDTrERAOC/vh2SdcHwTL07Z5P+8uVyfXLz2NBeLAYAQA3/+nalSitcGtm1jU7ql246DkIIRQ8ErbTkWN16VKbOmnKaOvywR/rBdKIW4oiTomIP/eyI9rH1jz/zAHwpCjSh4EALIQDw6uFvVqjc6dZRvVJ1THaa6TgAgBB214m99MWirVq0OV+fLdqis4d0Mh0JAIAmW7Bxrz5buFWWJd1/Wl9ZXGeCHyh6IKhdfVQvLZ/eQW2chYq2XLIpAnZMVBzwfGhvjTutetoZ+VCMqH2sT7fr2v3gwy6Mxt7mf14AIsSMdbv13bLtstss/enUPqbjAABCXFpSrG4+poce+W6V/vXtKk3o115x0exMBgCELrfbrb98uVySdN7QTurfMcVwIoQaih4IarHRUdp0xvs6592Fio+265e7j1ZaosPH+RYtdNunY2u3xao9YLtGSy23q47fhLvy++Ut/jdoMZbNt4KLT8UYb7ftXna3NHQ7QM9NYQeIeE6XW3/9ynPyftGITPVKTzKcCAAQDq4Z11Vvz9qoLfsO6Plf1+uO43uajgQAQKN9sXib5m/cp/hou+45Kdt0HIQgih4IemcM6qBXp+dqwcZ9+vek1frXeYM8F5Oj4kxHax4uVx0zRrzcbrCg4mfBxZ/bfj221nD1urhdkrPU8xGutZ0655zUddtb67GGdvI08nbAnosVhUBDPpq/Wcu2Figp1qHfHN/LdBwAQJiIjbLrdyf31u3vLNBzk9fpgiMylZESazoWAAB+Kyl36p/frJQk3Xh0d6Un8/8z+I+iB4KeZVm6/7S+OueZ6fpg3mZdPrpLeG9rs9kkW7SkaNNJmofbXVngKPdeFGnodn0FlSbdDtDOHm+D66uOUUmL/spbjg9t2HwquAS6DVvVLiHasMGs4tIKPfLdKknSbcf2UNvEGMOJAADh5PSB7fXqtBzN37hPj3y3Sv85f5DpSAAA+O2lqTnasu+A2qfE6roju5mOgxBF0QMhYWhWa50xqIM+X7RVf/1qud65bhQDjEKVZUmWPbx3BbjdAWx/Vtft5npuX3bv0IatcXNvWqINmy8t4GjDZtJzk9dpZ2GpOreN1xVjupiOAwAIM1WLxc5+Zro+mr9ZV4zprIGdWpmOBQCAz3YUluiZn9dKkn43oTczqtBoFD0QMn53cm99tyxPM9fv0TdL83TKgPamIwF1syzPhWTasDXP7aa0VvN5pw9t2Hxqw1a9I6YF2rDV3n0TYm3YNu3Zr//9ul6SdN/JvRXj4OQdABB4Q7Ja66zBHfTpwq166Ivl+vDG0SwWAwCEjH9+s0rFZU4NymylMwZ1MB0HIYyiB0JGx1ZxuvHo7nrixzX621crdGzvNMVGcdEIMCLc27BJlbtgvO2uaYbWaYForebPTh9XhZefmzZsvrVl868N25yF29XT2VUp3YfppH4Zpn8JAIAw5lkstl3zNuzVZwu36qwhHU1HAgCgQQs27tVH8zdLkh48va9sNor2aDyKHggpNx7dXR/M3aQt+w7of5PX647je5qOBCBc2SrbsDnCdO6C291w+7OKUqnigOdz+QHPR0VJrc+Vx5SX+Pa5ovTg184yEz+4kTZs50gaEp2hstPnsuIWANCs2qfE6ZZjuuvf36/Ww9+s0Al905UQw1t/AEDwcrncevCL5ZKkc4d20pCs1oYTIdRx5oOQEhdt1x9O7aNb316gZyev1XnDO6ljqzBtHwQgeB22C6SBHRVeW3DVs0uk3t0c9cxi8WXHia85I5nXNl/17A6pY16Ly+bQ5LV7tLfErbIeE3RhRpLpnwwAEAGuPbKb3pu7SZv2HNAzv6zVvSf1Nh0JAACvPpq/WYs27VNijEO/m5BtOg7CAEUPhJxTB7TXG103aFbOHv396xV6+uKhpiMBqNLQrA+/Lsg3cJHeWaM44NPr1Vc4aKgAUOt55Db9mzbHsjfQ0qmeIeoNzdrw1h6q3oHs9czxaFROR0AHur8+LUcPLliu1vFR+nni+IA8JwAADYmNsutPp/bVDW/M0wu/5uj84Znq3DbBdCwAAA5TWFKuf367SpJ027E9lJYcazgRwgFFD4Qcy7L0wOn9dNpTU/TV4m26bNRujerW1nQsoH5udxNW8gfzzoFaOSO6GGCr4yJ6PQPBvV6kd3i5IO/nc9VZTKh9cb8RxQRaM/lsT3GZHp20WpJ094nZahUfxjNwAABB58S+6RrXo52mrt2lv361Qi9cPtx0JAAADvPfn9ZqV1GpurZL0FVju5qOgzBB0QMhqW+HZF08MktvztyoBz9fpi9vGyeH3WY6FhrD7fa+ut+nC/INrMgP2M4Bf5+rVhHC7TL9mzbIOvwifbCu7veas4HXszkkG/8NwqH+8/0qFZRUqE/7ZF00Ist0HABAhPEsFuurCU9M0aTl2zVlzU4d2TPVdCwAAKqt31mkl6flSJL+fFpfRTt4X43AoOiBkHX3Cdn6YtE2rcwr1DtzNumyUZ1NRwosr0OGA9k6KFBzAWrf58cuBLfT9G/aLG8X/Ju0ur8ZL+43qpjASQsiz7Kt+Xp79kZJ0oOn95Xdxg4ZAEDL65mepMtHd9Yr03L10BfL9c0dRyqKxWIAgCDxly+Xq9zp1jHZqTqmd5rpOAgjFD0QslonROvuE3vpz58t09PfLdIZXS2lxFgBXt0f6LkAfuwccFWY/hWb5XN7n6ZckG/MjIFAFhPspn/LAJqB2+3WQ58vl9stnTawvUbSghEAYNCdx/fSZwu3au2OIr0+Y4OuGUfrEACAeT+t3K6fV+1UlN3S/af1NR0HYYaiB0LaxSOyNG/aJP2z8D7FPltuOk7Lc8RKjhjJEVfPToFArO6v9VwBnTFQR0ujAA4RBoCW9uXibZqdu0exUTb94ZQ+puMAACJcSlyU7jkxW3/4ZIke/2G1zhrcQW0TY0zHAgBEsLIKl/7y5QpJ0lVju6pbaqLhRAg3FD0Q0hx2m64a30f7v4hRrCKw6FFR4vlQvmTZ6yhSeCtCeJub4G3nhLfiiYnjHRREAASt/WUV+vvXnpP3m47uoQ6t4gwnAgBAuuCITL01a4OWbS3QI9+t0j/OHWg6EgAggr0yLUc5u4rVLjFGtx3bw3QchCGKHgh5g4eP080rP9N3S7dqVOcUvXn1UFnVbae8tKHyNmciaI6vqx1XjRZZdXE7JadTcpYq7Os/lq2ZijZNKRYF4vg68lPgAULKf39aq235JerYKk43HN3NdBwAACRJdpulB8/op4nPzdB7czfpwhFZGpzZynQsAEAE2pZ/QE/8uEaS9LsJ2UqKjTKcCOGIogfCwh9P66efV+3StA1F+nR5vs4e0sl0pObjdktul/c5IHUVSbwNIQ+K4xsoFtX5O3B5ijvO0pb93Ztg2eop2jShqBJsBR6bQww8R6hbt7NIL0xZL0l64PS+io1ibg8AIHgc0aWNzhnSUR8v2KI/f7ZUn9w8VnYbC2wAAC3rb1+t0P4yp4ZmtdK5Q8P4+h2MouiBsNCxVZxuO66H/vXtKv3tq5U6rk+6ksO1UmxZla2sIuBiWlWBp1l21IRSgafM8xHuAlrgackWbg09fx15KPCEHbfbrQc/X6Zyp1vHZKfqhL7ppiMBAHCY35/SW5OWb9fizfl6d85GXTKys+lIAIAIMm3tLn25eJtslvR/Z/aXjeI7mglFD4SNa8d104fzNmv9zmI9Nmm1Hji9n+lIaKqaBR5HmA9bbNYCj4nj6yv+UOA5WOCpq2jTnHNx/G2xVvv4xuSJjALPN0vzNGXNLkU7bHrwjH6yaE0HAAhCaUmxuuvEXnroi+X617erdHL/9mqTEG06FgAgApRVuPTnz5ZKki4b1Vn9O6YYToRwRtEDYSPaYdNDZ/TTZS/N1mvTczVxWKb6dkg2HQvwTSQVeKQaRZFgaLHW1OPrKP5Q4KnBCpI5Oj7swGnk8xeXS3/9wnPyfuPR3dW5bYLh3zkAAN5dNqqz3puzSSvzCvWvb1cy1BwA0CJenpajdTuL1TYhWnedmG06DsIcRQ+ElSN7purUAe311ZJt+vNnS/XBjaNZbQsEI1tVizYKPCFf4Kl+Hi8FHrnDvsCTIOlrd4LuTnlIN4+fYDoOAAD1ctht+stZ/TXxuRl6d84mnX9EpoZmtTYdCwAQxrbuO6AnK4eX33dKH6XEhWlLegSNyOg5gYjyp9P6KD7arrkb9urj+VtMxwEQ6Wx2yR7t+XDESI5oz84Be0zlR7TnPkfMwQ97tOd7jtiDj3HE1rgdU+N27MHbUXFSVNXtuMqPGM99UXGej+rHxElR8ZXfi638Or7G81TernpcVLwUXfN2wsHvR8dL0Yme3BEqVmW6cWwnhpcDAELCEV3aVA+P/fNnS+V0uQ0nAgCEs6rh5cM7t9Y5QzqajoMIwE4PhJ32KXG6/bie+sc3K/XwNyt0fN90KshAsHG56t5JUOcOhFq7CkLi+7V+HrfT9G88OHibZVJfK6pGfb/2c9e6HaDvu2123f7eEs3ILdQRvTrp2aOOMv0bBgDAZ78/ube+X56npVsK9PbsjbpsFEPNAQCBN2XNTn21hOHlaFkUPRCWrh7bVR/M3aR1lUPNHzyDoeYIci6XDhkSXl+LIW8X1oP6+7WGoLtdpn/jwcFqrov+Qfj9MBxq/tXirfoi16ZoR2vdd+Zw03EAAPBLalKM7jkxWw98vkyPfLtSp/TPUNvECGg9CgBoMaUVTj3w2TJJ0uWjuzB7Fy3G76LHr7/+qkceeUTz5s3Ttm3b9Mknn+iss86q/r7b7dYDDzygF154Qfv27dPYsWP17LPPqmfPnoHMDdQr2mHT/53ZX5e8OEuvz8jVxOGd1K9DiulY8JXb7bkoXr2ivuqiea25A/V+v67CQa0L7yYv+tfOJloKSArui/bN8X1mDoWsotIK/eXL5ZKkm8d3V1bbeMOJAAQT3jMhVFwyMkvvzdmk5dsK9M9vV+pf5w0yHQkAEEZempqj9buK1S4xRr85oZfpOIggfhc9iouLNWjQIF199dU655xzDvv+v/71Lz355JN67bXX1LVrV91///066aSTtHz5csXGxgYkNOCLsT3a6bSB7fXl4m26/9Ol+vDGMaG7hc7tbsRFf3+/78OFeb++38R88LBFBeiiu72yRU+N27aoJny/OXYC2CkCIGQ8+eMabS8oVVabeN14dHfTcQAEGd4zIVR4hpr307nPztD7czfrgiMyNaxzG9OxAABhYMu+A3rqx7WSpD+c0pvW82hRfhc9Tj75ZJ188sl1fs/tduvxxx/Xn/70J5155pmSpNdff13p6en69NNPdeGFFzYtLeCnP53aVz+v3KE1G7dq0vdf6qQ+7WpcWA+S/v++FAWYB1DJqv/Cu73WBfQmXdQP9PcbUxRgIDIQjJZvLdBLU3MkSQ+e0Zfh5QAOw3smhJJhndto4rBO+mDeZv3xk6X64rZxirKHV0tKAEDLe+CzZTpQ7tSILm10NsPL0cL8LnrUJycnR3l5eTr++OOr70tJSdHIkSM1Y8aMOk/gS0tLVVpaWn27oKAgkJEQ4TJSYnX3CT10yg/HK2PmXmmm6UQGOWIlR4zkiJOiYg+97Yjx3I6KlewxtYb2RtW4iO+ocWG/ub9fV+GAN18AzHK53Prjp0vkdLk1oV+Gju2dbjoSgBDTmPdMEu+b0LzuO6WPflixXSvzCvXy1BzdwC5GAEATfLcsTz+s2C6HzdJfz+4vi64OaGEBLXrk5eVJktLTD70AkJ6eXv292h5++GE99NBDgYwBHOLyMd3005RhcpYuUGKUlBJt1d2qKdxVlHg+lN/wsbV3G9Te0VC9MyHq0NstcryXtkh1FlR8Pd5BWyUAPnl79kYt2LhPCdF2PXBGX9NxAISgxrxnknjfhObVJiFa953SR7/9cLEe/2GNTh3YXp1aM68KAOC/otIKPfi5Z3j59Ud1U6/0JMOJEIkCWvRojPvuu0933XVX9e2CggJlZmYaTIRw47DblH7ZSxr3zDS5S6U3rxmpcT3bHXpQzcHZdbaj8vbhrUVVoI73NjfD1+MbONbtqvuXFimFoJosmx+FEh+LKi1auPHxNQ4p9Ngo9gB+2FFYon9+u1KSdM9J2WqfEmc4EYBIwvsmNLeJwzrpw3mbNTtnjx74bJlevGI4K3MBAH57bNJqbcsvUWabON12bE/TcRChAlr0yMjIkCRt375d7du3r75/+/btGjx4cJ2PiYmJUUxMTCBjAIcZlNlKl4/qrNdmbND9ny3VN3cceWgPdsuSLLvnorAi6J9Hl8szL8RrUaWu4o+/x1dITi/Fn9rzS1rq+Lq4XZKzzPMRSaoLIl524RzWbizICjeHPMaXn4FdPWi8v365QoUlFRrQMUWXj+5iOg6AENWY90wS75vQ/CzL0t/P7q+Tn5iiH1fu0HfL8jShf/uGHwgAQKWlW/L1yjTP/MO/nNlfcdHMP4QZAS16dO3aVRkZGfrxxx+rT9gLCgo0a9Ys3XTTTYF8KcBvd5+UrW+W5ilnV7Ge+WWd7jqhl+lI5tlskmyei8KRwu2uu5ATdIWb2i3Ymvj8De7qKWnRP4NR1bt6vBRb7HUUZhpVGPK2y6ephRsfXsNe6za7eprs19U79fmirbJZ0t/PHiC7jd8ngMbhPROCWY+0JN1wVHf99+e1evDz5RrXM1WJMQG9bAAACFNOl1t//GSJXG7p1IHtNT47zXQkRDC/z16Kioq0du3a6ts5OTlauHCh2rRpo6ysLN15553661//qp49e6pr1666//771aFDB5111lmBzA34LTk2Sg+c3k+3vD1fz/2yTmcO7qDuqYmmY6GlWZbngrA9wt68uVwNFFVqFUrqbPHW0PE+tl9rqePdzrp/FxG9q8eXQk/N7wfL8Y18TIAKPSXlTt3/2VJJ0uWju2hAp5SAPC+A8MV7JoSyW4/toS8Wb9WG3fv1n+9X6YHT+5mOBAAIAW/N2qBFm/OVFOPQA6cx/xBm+X3Vb+7cuTrmmGOqb1f1lb3iiiv06quv6re//a2Ki4t1/fXXa9++fRo3bpy+/fZbxcbGBi410EinDMjQ+OxU/bJqp/74yRK9c90o+tQiMthski1aUrTpJC2nzl09/hZVAtHirQWOr/4Zyr3/Pupr7xauLFuNIkmtQokfhZgtu0t0SX6yXkm6QnefyC5BAA3jPRNCWWyUXX85s78uf3m2Xpueq3OHdlL/jhT8AQDe7Sgo0SPfrpIk3TshW2nJnNPALMvtdrtNh6ipoKBAKSkpys/PV3Jysuk4CEOb9uzXCY9NVkm5S/+ZOEjnDutkOhKASOZ2e3af1Fv4qKsg46Wg4yyTKkqlihLP5/IDNW6XHPr1Id+reUzJ4fdDv5w0SeNHjzAdA2GKc2D4i39m0Nxue2eBvli0VQM7peiTm8fS2hEA4NWtb8/Xl4u3aVCnFH3M/zPQTPw5/42w/i6AlNkmXrcf11P/+naV/vb1Ch3bO02tEyJo9TsQrPxtweX1wn99OyW83a7v+Dru8zpTpYGChLfv41BWHXNN6rvtddeGt9u+He+22fXqzM1at7tUrTtl665RR5j+zQAA0GLuP62Pflm1Q4s35+uNGbm6cmxX05EAAEFo8uqd+nLxNtks6W/MP0SQoOiBiHTdkd306YItWr29SH/7eoX+PXGQ6UiAh9td/wVyr7M26ruo7udjvLZ68nbbz+O9Pb+CauNhcKhqtWT3MuDc620/j/fp+X2Yq+H34PY6blt2Tzu2IPD+nI16aMcSxUbZNOmCo2mHCACIKGlJsfrthN66/9OleuS7VTqxX4Y6tIozHQsAEET2l1Xoj58skSRdNbYr7RARNCh6ICJF2W16+JyBOu+56fpw3madNbijxvVsZzoWqtQ5i6GhlfM+XHQ/bHV+AFboB3oHgNtl+rcffA67QO7HBXR/L7j7sQvA99dozE4DR9Bc+I9UOwpK9LevVkiS7j4hW5lt4g0nAgCg5V0yIkufzN+s+Rv36U+fLtVLVwxnEQAAoNp/vl+tzXsPqGOrON11AvMPETwoeiBiDevcWpeP6qzXZmzQfZ8s1vd3Hq24aLvpWAd56/Pf5NX5Vff52f6n3nZB3p6jka/hdpr+7Qef+tr9NNjap/HtfZp3F4C9xvN7W/Vvk3hjDQMe/GKZCkoqNKBjiq4a28V0HAAAjLDZLP3z3IE69cmp+mnlDn2xeJvOGNTBdCwAQBBYuGmfXpmWI0n629n9lRDDZWYED/5pRES7d0JvTVq+Xcl7V+jXN6fopD6pPl7Y97f9T4WPbYlqtSTCoSybjxfqG3vR3dd2QN6Ob8ZdAFz4B1rMd8vy9PWSPNltlv5x7gA57Oy6AQBErp7pSbrlmB567IfVeujzZTqyRztmIgJAhCt3uvT7jxbL5ZbOHtJR47PTTEcCDkHRAxEtMcahv57VT4PfvVxtNhZJG00nCgKWTXLESY4YyRHr2+eouo6v5zGNmTcQRH3+AYSv/APluv/TpZKkG47qpn4d6EkLAMBN47vrqyVbtXp7kf761Qr953xmIgJAJHv+1/VamVeoNgnRuv+0vqbjAIeh6IGId2yfDL2ffp2St01Vq1hLIzony1a948KfnRlhslPD7ZLKiz0fzaW+Vk0tctvwY9i1AQStf367UjsKS9W1XYJuP66n6TgAAASFaMfBmYgfzd+sMwd30FG9Uk3HAgAYsG5nkZ74cY0k6c+n9VUbdv8hCFH0ACQdd/l9Ov7RydpbWK7fdsrWzeN7BOaJXbVncjSmkBKoY1riOXws+ridktMpOUsD83sONRR9TP8FgDrNWr9bb8/ybPl7+JwBio0KojlPAAAYNqxza10xuotenZ6rP3yyRN//5ijFR3NJAQAiicvl1n0fLVFZhUvjs1N15mDmPCE4cYYCSGqbGKP7T+uru95fpMd/WKMJ/TLULTWx6U9ss0m2aEkRWvWm6FM3ij4UfRB0Ssqduu/jJZKki0ZkaVS3toYTAQAQfO45KVuTlm/X5r0H9Oj3q/UnWpoAQER5Z85Gzc7do/hou/56Vn9ZvL9FkKLoAVQ6e0hHfbJgi6as2aX7Pl6id64bJZuN/3g3CUUfij51oehD0ScIPfXTGq3fVay0pBj9/uTepuMAABCUEmMc+uvZ/XXVK3P08rQcnT6ogwZltjIdCwDQAvLyS/SPr1dKku49KVudWscbTgR4R9EDqGRZlv5+9gCd+NivmpWzR+/O2aSLR2aZjoVQRtGHok9dKPoEXdFnW1G51v66WzYN0f+d2V8pcVGmf0sAAAStY7LTdObgDvps4Vb97qPF+uK2cYqy20zHAgA0I7fbrfs/W6rC0goNzmyly0d3MR0JqBdFD6CGzDbxuuekbP3ly+V6+OsVGp+dqg6t4kzHAkITRZ8AFFbKpYoyqaJEqiht+LPTh2Nqfna7Wv73EoRFn/aS/hclPZH1L03on2E6DgAAQe/Pp/XVr6t3amVeoZ79ZZ1uP66n6UgAgGb05eJtmrR8u6Lslv513kDZ6YyCIEfRA6jlyjFd9NXirZq/cZ/u+3iJXr3qCHoUAia4XJ4L5H4XDfzY1VH9/P7s/GjEY7y+Tn23nZ7HwTubo9bOEV93fRz8vHFfmdbuKtE+extdfPZZpn8iAABCQtvEGD14Rj/d8e5CPfXTGp3QN1192iebjgUAaAa7ikr158+WSpJuOaaHeqUnGU4ENIyiB1CL3WbpX+cN0ilPTtHk1Tv1wbzNOn94pulYiCRut2cFfmPaKzV3kaD6An5zvE6t23Kb/ksEN1tUrYv5/lz8d0iWrRFtovxsJWX58pja99X1mLqe29bk+SCr8gp12lNTVO5067FzBik1LT1AfxwAAMLfGYM66KvF2/T98u2698NF+uTmsbS5AoAw9OfPlmrv/nL1bZ+sW47pYToO4BOKHkAdeqQl6u4Teunhb1bqL18u11E9U5WREms6VmRwu5uwCr8RcxzctVsQ+VIA8PcxjShGwLv6Ltb7dJG9iRfzrdq7BXx5HV8fU3lfvbsXHJKNCwpNVeF06d4PF6nc6dbxfdJ01uCOpiMBABBSLMvSX8/ur1k5e7R0S4H+N3mdbj2WNlcAEE6+WrxNXy/Jk8Nm6ZGJAyluI2RQ9AC8uPbIbvpmaZ4WbtqnP3yyRC9dMbz521y53T5cyPelhY4/bXQa8ZgmvU4Dx9POp34+D4H288J8k1oE+fgYvwdYV17cP2znACdZaLrnp6zX4s35So516G9nD6CNIQAAjZCWFKsHz+ir37y3SE/8uEYn9M1QdgZtTwAgHOwuKtX9lW2tbj6mh/p1SDGcCPAdRQ/AC7vN0r8nDtSZT/6sQWuf0YaXXerSOsa/C/j+tgQyMVQ4lPi7et/vi+yNad9Te9dBoF6nroKEvcntfABIa7YX6vFJayRJD5zeT+nJ7OQDAKCxzhrcUV8t3qYfVuzQvR8u0sc3jZGDlcAAEPL+/Pky7SkuU++MJN1KWyuEGIoeQD16pCXpL0dU6JwFH0ub5PnAQY5YyR4jOaI9XztiDn62xxx6u/pzTI3ve/leXc9lj2YnAIAmq3C6dM+Hi1XmdOnY3mk6ZyhtrQAAaArLsvS3swdods5kLd6cr+enrNfN47k4BgCh7Jsl2/TV4m2VC4IHKdrBdRaEFooeQAPOOOV0PbHmTlXs3aye7eJ0+sB0WX7t5GjM7o962kcFU/unihLPR6npILVYtnraNdWzy8Lfx9S7k8TLMGav8yjqaRXldU5FQz8HO0OA2l6cmqNFm/YpKdahv9PWCgCAgEhPjtUDp/fT3R8s0uOT1uiEPunqmU6bKwAIRXuKyw62tRrfXf070tYKoYeiB9AAR1SUJlx6j05/aqrKtrvkbDNIZw/pZC6Q2+1l+HZj5m/Ufp66hm77WMjxOqi7nlZg/j6m9s/trR2Y21V5bHnL/m2C0WGFGS9Fl3qHc/tQXPHlMQ3ODfGnsFRfkaiulmOsSoG0dkehHp20WpL059P6KiOFtlYAAATKOUM76qsl2/TTyh2658PF+ujG0bS5AoAQ9ODny7SrqEzZ6Um69Vh27iE0UfQAfJCdkaQ7ju+pR75bpQc/X66x3dspzVQPeMs6uPJfMWYyBAuXq0bhxFuhpL7dNl6KO3U+pq4iUe3H+FFY8usxPhSwvHE7JadTcgbbdpyWZnkvlPhcvKn9GG9zWPx9nXrmwjSpsOSlOBShOxsqnC7d88FilVW4ND47VecNM1i8BgAgDFmWpb+fPUAnPDZZizbt04tTc3Tj0d1NxwIA+OHbpXn6fNFW2W2WHpk4UDEOu+lIQKNQ9AB8dMNR3fTt0jwt2ZKv3320WC9feQRtUUyz2STZJHuU6STmteiuHR924TTHY3wpYHlt/+ZuuEAUKWrvhGmw5Vpj2rT52qKtnl07XgtL3l67/iLRy9M2aeGmfUqKcejhc2hrBQBAc8hIidX9p/XVbz9crEe/X61jstOUnUGbKwAIBbuKSvXHT5ZI8lwDG9ipldlAQBNQ9AB85LDb9J/zB+m0p6bq51U79e6cTbpoRJbpWICHzSbZoiVFm05iltvt466dembneN2B05g2cgF8jNdiVM3HlHvm7NT7O3JJzjLPRwS5XlKU4yQln/Go2qfEmY4DAEDYmjisk75flqcfVuzQb95bqE9vGcsAXAAIcm63W/d9vES7i8vUu7LbCRDKKHoAfuiVnqTfnpStv361Qn/50tPmKqttvOlYQOQ6pMVZHQUDr+3PfDnG226ZhgoSdRzT0ByeOosztWfY1FWoqfUc3ubcQJLUsW2yThja0XQMAADCmmVZevicgZr/+K9avq1AT/64RveclG06FgCgHh/N36JJy7crym7psQsG09YKIY+iB+Cnq8d21aTl2zUrZ4/uen+h3rthtOw22qSghTR0kd/Xi+MNtZNqaiGgoYv8dR7T0EX+Oo6R2/RfJDRYtjoGyde67cvQ+3qfw1vbKz+POaytVR0tqw5rY1Xrc42cj/60Ti9N26iUhDh9cd3xtLUCAKAFpCbF6G9n9ddNb83XM7+s1bF90jQ0q7XpWACAOmzeu18Pfb5MknTXCdnq0z7ZcCKg6Sh6AH6y2Sz9e+IgTXj8V83dsFcvTFnPgL7mdNhF/kasgPd6TFMu8jdHIaCuFkZc5G+URl3kb+iYlrrI7+0Y3y7y1/29yGwpMSd3j56avlNuxemxc4apbWKM6UgAAESMkwe01zlDOurjBVt09/uL9NXt4xQfzSUIAAgmLpdb936wWIWlFRrWubWuP6qb6UhAQHDGATRCZpt4PXB6P/32I8+AvqN7pQauEu7LRf5GrZJv6CK/iUIAF/kDhov8XOTHIYpKK3TX+wvldnt6i5/YL8N0JAAAIs4DZ/TTjPW7lbOrWP/4ZqX+78z+piMBAGp4dXquZqzfrfhoux49fxCdTBA2KHoAjTRxeCd9vzxPrVZ/oP0v/UOujkmyuX24yH9IMaGOY7jI7xsu8nORH6jH375aoU17Dqhjqzj9+fS+puMAABCRUuKi9Mh5g3TpS7P0+owNOr5Puo7qlWo6FgBA0todhfrntyslSX88tY86t00wnAgIHIoeQCNVDejb859rlV2RK20wnSiI2aIkR0zlR6xkjz542x5Tx9exkiPay+3Kr21RhxcPDikc1FeYqHFcfUWPqmIFMwCAkPLzyh16Z/ZGSdK/Jw5SUmyU4UQAAESucT3b6coxXfTq9Fz99sPF+u7Oo5QSz/+bAcCkcqdLd72/SKUVLh3dK1UXj8gyHQkIKIoeQBOkJsVo6YSX9PznHyjKcuqmo7qoc+sYL+2hag+S9tI66pBdIK4GHlNXi6jajwmC3SSucqmsXCoratnXDZTaOzUOK6B427FR32Pq2sVR3w6R+nZ+2Bp+/foKPN6ey1sGdpYgiO0tLtNvP1osSbpmXFeN7t7WcCIAAPC7Cb316+qdWr+rWA98vlSPXzjEdCQAiGhP/7xWizfnKyUuSv86b6AsFnsizFD0AJromFHD9cUGh95dsEXTF8Xr6zuOVGJMkP+rddjcEKePRZe6ZnfU09LL23PVV/hp8LnqKPwcMt/E2+vXLjzVeozb6f335XZKTqfkLGu5v1HQs8wWfg5rXVa78FP7MQ20Iau3iOSltVjtIpJlY1eQYW63W3/4ZIl2FpaqR1qi7j0p23QkAAAgKS7arkcvGKxzn52uTxdu1bF90nXGoA6mYwFARJq/ca+e+mmtJOmvZ/VXenKs4URA4AX5lVkgNDxwRj/NytmjjXv264HPluk/5w8yHal+Npskm2RnW3k1t7vhwevedtscVnTxNgze3+eqr/Dj7bn8KWL5sNvI+y/Ms4PHVd5if6KQUOf8FR92Cfn1GD9aszWq8NPQTBofMtR8rhYsBL0/d5O+WZqnKLulx84frNgoe4u9NgAAqN/gzFa65ZgeevLHNfrjJ0s0NKuVOrWONx0LACJKUWmF7nx3oZwut84Y1EGnU4BGmKLoAQRASlyUHrtgsC58foY+mr9Z47NT+R9HqLEsye6Q5z+LMabTBA9f2qX5vNvGl51Djd254+fOoaY8xu2q5/dVIalCcpa22J8o6NUutPhU+GnoMYcXXQrKXDqwrFDtNUFXnDhWAzqlmP7JAQBALbcf20NT1uzUgo37dNd7i/TO9aNkt7FTFgBaygOfLdPGPfvVsVWc/nJWf9NxgGZD0QMIkBFd2+iWY3roqZ/W6g+fLNHQzq3VsVWc6VhA09hski1aUrTpJM3vsN0+XgohzgpPqzNnqVRR+eEskypKan1d+5hSz30VJZXH1Ly/nmOcNW6HIrer8vfVvPmTJV1pk2JT03T+kZc162sBAIDGcdhteuKCITr5iV81O3ePnv1lrW49tqfpWAAQEb5YtFUfzd8smyU9dsFgpcTR/QPhi6IHEEC3H9dTU9bs0sJN+/Sb9xbqnetYuYQg43bX2ElR1+6K+u7zsguiKfd520FSfV8DO03q2q3R4A4OL/fVN9cF3nlrjeXXffW14qprZ8eh903PzdfsDfmqcCTq0kvulY3/7gIAELSy2sbr/87sr7s/WKTHflijsT3aaUhWa9OxACCsbdl3QH/4ZIkk6ZZjemhE1zaGEwHNi6IHEEBRdpueuHCwTnliimbn7NFzk9fplmN6mI4VmXy6WO7vzAx/iwRe5n3U1b6pJQsC8F/ti+11tWjyZb7FYffVHpruQ0HA5yJBQ4WDBrL7NK/D/PD2Get265KfZsrtlp69YKgyMtobzQMAABp2ztCO+mX1Tn2xaKvueHehvr7jSCXGcHkCAJqD0+XWb95dqMKSCg3ObKXbj2OHHcIfZxVAgHVum6CHzuyvez5YpMcmrdbYHu00OLNV87yYy9XIi+UNzFxockHA1/sCVRCo4+I//Fd1gbzBgda+Xmhv6kX1ugoCvhQJfB3Q7UuRwBEUF/ZRt337y3TX+wvldksXDM/UyQMoeAAAEAosy9Jfz+qv+Rv2auOe/Xrw82X698RBpmMBQFh6bvI6zc7do4Rou564cLCi7DbTkYBmR9EDaAbnDu2on1ftUMHS75T/6pOq6Joih2qvvve3IFDHxX+5Tf+ooceyBaAVT2Pb87TAyvum3MeFfYQQt9utP3yyRNvyS9S1XYL+fHpf05EAAIAfUuKi9NgFg3Xh8zP04bzNGp+dqtMGdjAdCwDCysJN+/TYpNWSpIfO7K/ObRMMJwJaBkUPoBlYlqW/nzVAy9berTHO+dJa04lChM0hOWIle7TkiKnxOUZyRFd+jqnxvdhD7/f2uJrPaYs6uFugdhGg3kJD7bZG7AQATPpg3mZ9vSRPDpulxy8YrARaYgAAEHJGdG2jm8f30H9/Xqs/fLxEQ7Jaq2OrONOxACAsFJdW6I53F6jC5dapA9vr3KEdTUcCWgxXCIBmkhIfpdizn9If331JDjl1/tAM9ctIrGfWQq15EL7sCKnztrdZD7VbV9W+HQQtoVwVUlmR6RSNY9XePeHr7pCGWjrVc8whRZqGCjl17SzxUsipd46El9sN/dwUhRBA63YW6cHPl0mSfnNCLw1qrhaCAACg2d1xfE9NWbtLizbt053vLtA7142Sg9YrANBk93+2VBt271eHlFj9/awBsnhfjghC0QNoRkMH9NdPW2/Uf39eq48WO/TV+HHBvZXQ20wPd60CTV33Nbpo46UA41MWL/NGGsrmV/4a99XXTsztlJxOyVnWYn+ukHJIWzFfizReikZ+DRVvYIdOg4WdBuaNBGK3kGX3PB98UlLu1C1vzdf+MqdGdWujG4/ubjoSAABogii7TU9cMFinPTVVc3L36okf1+juE7NNxwKAkPbhvM36eP4W2SzpsQsGKyU+ynQkoEVR9ACa2Z3H99SsnN2ak7tXt769QB/eNFoxDrvpWHWz2SRbtOkUwat6cHwgCjuNKdr4UWTy+joB3BlU+z63y/vvzu2qzFzecn+vkGL5uLMmULtv6hla79cxvhaifCgyNZS30l+/Wq6VeYVqmxCtJy4cIruN1UoAAIS6Lu0S9PdzBuj2dxbovz+v1ciubTWuZzvTsQAgJK3dUaT7P10qSbrz+F4a2a2t4URAy6PoATQzh92mJy8aopOfmKIlW/L1z29WMXA3VNlskmySnRUSdXK7A1e08audmx9FpkOKNs28M6iuY7z/8jwFIYpC3tkccsqm3zhjlGe7XpddcJPSk2NNpwIAAAFyxqAOmr52l96ds0l3vrdQ39xxpFKTYkzHAoCQUlLu1K1vz9eBcqfGdG+rW47pYToSYARFD6AFtE+J07/PG6RrX5+rl6flaHT3tjqhb7rpWEBgWZZkd8jzv5Z63qC63ZUFAX8LFc56Ch8+tmarWYhoymNrF2EaasNWddtZJlWUSc7Sg59pieYbV4XsktpaZZrYy6aje6WaTgQAAALsgdP7af7GvVq9vUh3vb9Qr101QjZ2dQKAz/7y5cGd8Y9fMJid8YhYFD2AFnJ833RdM66rXpqao3s+WKSv7zhSHVvFmY6FQKtugRWIi+V+7nbwqeWVjwUDn9tnNdQGy8tzoWkOmZHiz+yQetph1bzdqOeq3RKrKY899Ocqd9t05wdLtDyvWN06pOm5y04z/RcAAADNIC7arqcvHqrT/ztVU9bs0rOT17FKGQB89NXibXpr1kZJ0qMXDFYaO+MRwSh6AC3odxN6a07uHi3enK873lmgd68fJYc9RAYYV7UuCveV+H49Vx256ht2Dt8cMt+hrovh9Q0R9+cCf1Oey9dh7LUu+jflsTWzWJG1WueRr1foq23JSo5tozcuPVJRofLfTQAA4Lee6Un6vzP667cfLdajk1ZrZNc2Gt6ljelYABDUNu7er99/tFiSdNP47uyMR8Sj6AG0oGiHTf+9aKhOfXKKCjcu0i9v/qjjs9s140r8AD5XfUOq4ZtGXQxvysVxXx7r56r+Bh/ra7HB7j0zUMNPK7fr+V/XS5IemThInVrHG04EAACa28ThnTRt3S59tnCrbn9ngb66/Ui1Tog2HQsAglJZhUu3vTNfhaUVGprVSned0Mt0JMA4ih5AC8tqG6+Hzx2gIR/dpI45u6Uc04lCkC1KcsRI9mjPhyNassccvM/bZ5/ui6nxfJWf7VF1FCfs/u0AsGwRtzofaKq8/BLd/f4iSdKVY7ropH4ZhhMBAICWYFmW/nb2AC3atE+5u/fr3g8X6YXLh8vifBoADvOvb1dq0eZ8pcRF6cmLhrAzHhBFD8CI0wZ20Idzrldi7g+Ktbs1qmsrxdrc3tsx1blrI4JnJ7jKpbLyln3Nw9odeSls+LLb4rDjbHUXTurcgdHY45qSz5/jIq/1EppHudOlW9+er737y9W/Y7LuO6W36UgAAKAFJcY49N+Lh+qcZ6brhxU79Pyv63XD0d1NxwKAoPLt0jy9ONWzmvZf5w1kZzxQiaIHYMhpl9+rc58dq2VbCzS0uJXevX60oh3NUI33t51Vg8UWU8dVtuaqc/ZGQ8fVfE5vr1tR/+/R7ZScTslZFvi/UbipPWS7zh0xgS62BPtxdbQDo51Xvf7xzUrN3bBXSbEOPX3xUMU47KYjAQCAFta/Y4ruP72v7v90qf713SoNzmylkd3amo4FAEEhZ1ex7v3AszP+mnFd2RkP1EDRAzAkNsquZy8ZplOfmqL5G/fp4W9W6IHT+wX+hWw2yUb/W59UF0saGoTua7ElXI6ro2hU34wXt6vyeVt4N05IsnwsjoRD0aieeS+1jvt+5S69NHW9JEv/mThIndsmmP5DAQAAQy4dmaV5uXv06cKtuvWdBfrqtnFKS441HQsAjDpQ5tRNb85TYWmFhndurd+fzM54oCaKHoBBWW3j9ej5g3Xd63P1yrRcDc1qrdMHdTAdK3LZbJJsnhkeqJ/bXUdxqKqIUnPHTkWt3UaBOM7X3TtNOa6J+ZzlkrPUl1+kbzuNIsyJkp6KGqWlYx7XiaxWAgAgolmWpb+fM0DLtxVo9fYi3frOAr197Ug56FkPIEK53W7d/9lSrcwrVLvEaP334qHM8QBqoegBGHZC33TdeHR3PTd5nX7/0WL1aZ+sHmmJpmMBBzW4A6ahdmVeCgjeWpr5dH9TnrMFHosmS0lM0L0nZpuOAQAAgkB8tEPPXjpMZzw1VbNz9uiR71fpvpP7mI4FAEa8N2eTPpy3WTZLevLCIcpIYfcbUBtFDyAI3HNiLy3ctFcz1+/RTW/O06e3jFVCDP96Not6dyj4clG/rtX+3u5vynP6+lhvuxQC+Lpym/6rhRfL5qW9k7f2UN4G1Jt6bB1trarvr2eeSwOPdVs2/eGz5fps8Q61SYzVxzcfxwpOAABQrXtqoh6ZOEg3vzVf/5u8XsOyWrMjFEDEWbolX3/+fJkk6e4TszWmRzvDiYDgxFVVIAg47DY9edEQnfbkVK3ZUaQ/fLJEj18wWJZl1f9AtzsIV9EH08r8OmZYcAE/sKqHltd34TyYLuoHwXM29O91hHpr5ga9s7hAdluc/nPxSKUlsVoJAAAc6pQB7XX12K56eVqO7v5gkb7MSGL2F4CIkb+/XDe9NU9lFS4d1ztNNx3d3XQkIGhR9ACCRFpSrP578VDd98Inumb5H7X/nweUEGXVf1G/vmHSaIT6hkr7e1G/rvtNXpiv67EBuNjPBXwEwKJN+/R/XyyXJP1uQrZGdmtrOBEAAAhW953SW4s279O8DXt145vz9cnNYxQbZTcdCwCalcvl1t0fLNSmPQeU2SZOj54/WDYb78cBbyh6AEFkRNc2uueIaA1clCOVyPOBxrPHSPZoz2ByR9XX0ZVfR3m+74g+eH9Vu51DLurXbsNTT1Gh3rY+Ndv71HVsreLDYcfWU6hoKBcQxHYXlermt+arzOnSSf3Sdd2R3UxHAgAAQSzKbtPTFw/VqU9O0YptBfrjJ0v174kDG94lDwAh7NnJ6/TDih2Kdtj07CXDlBIfZToSENQoegBBZsJZl+rPe5O1dM16tY2365/n9FObWNvBGQz1tnSqNZfhsGPrmeFwWDupemZCHNY+qp45Ef5kDHTrKWep5yPS+VQgsdUqtvhQ8AlkYaahgpHXjP7+PLV3sNRzLG+cm12506Vb3p6vLfsOqEvbeD0ycRAXLAAAQIMyUmL11EVDdOlLs/TR/M0a2ClFV4zpYjoWADSLn1fu0L+/XyVJ+r8z+ql/xxTDiYDgR9EDCDKWZem3l5yqc56Zpvnbi7RrcqzevX6UYhwRsGW7ZhHFp8JMPcWfRhVxAlDwaVJRqp5CUX2zTBpqc+aqkFQhOVvkrxg+ag8cr3Mot5eCT5OKOPW0HGuoiFPncHFfj/VWlPL3WN+LFn//eoVmrt+jhGi7Xrh8uJJjWa0EAAB8M6ZHO/3hlD7661cr9H9fLld2RpJG0SITQJjJ2VWs299dILdbumRkli4ckWU6EhASKHoAQSgxxqHnLxuuM/47VQs27tODny/Tw+cMNB2r+dlskmye1lPwndvtR2GmOXbtNEfBp4V2IdX7e3VJzrKW+RuGFcunHUJF5W6dWRSladYNuvuCs9QzPcl0cAAAEGKuGddVS7fk69OFW3XLW/P1+W3j1LFVnOlYABAQRaUVuv71uSosqdDwzq31wOn9TEcCQgZFDyBIdWmXoCcvGqKrXp2jd2ZvUv+OKbpkZGfTsRCMLEuyO9Qi/0l3u+suPNR5n7eihA+Finrvc9ZfEGnwvhoFEFe55Cz3FDcqSj2fqz4qan5devA4Z1nDBZOI5vb8Xl3l9R6VKGmwTbqjf5lO6pfRMtEAAEBYsSxLD58zUKu3F2n5tgLd+MY8fXDjaAabAwh5Lpdbd723UGt2FCk9OUbPXDpU0Q5mdgK+ougBBLHx2Wm696Rs/evbVXrw82XKTk/S8C5tTMcKbX5ftK9rt4MPOyDqva/2LgZ/76u5s6KF72uolRaapr55KX7fZ/ezLZYv93mb1+LDDJfKz/mlLv3xsxXaWVSh7K6ZevDCiaZ/6wAAIITFRdv1v8uG6Yz/TtWSLfn6w8dL9J/zmRMGILT99+e1+n75dkXbbXru0mFKS4o1HQkIKRQ9gCB309HdtWxLgb5ask03vjlfX946VhnJ0f6taPfpvqrnaGhOBhftUQ8fLnr7fl/tWRaBuM/bzA0vczjqmmVR531N/XkrCxdhrtzp0nUvztLswp7qlpqgFy4fK5s9/H9uAADQvDLbxOvpi4fqspdn6+MFW9S/Y4quHtfVdCwAaJQfV2zXYz+sliT99az+GpLV2nAiIPRQ9ACCnGVZ+td5A5W7Y5/+vvduZTy+3nSk8Fb74nRALt43w8XxgK/0b/oKflk2v4ZYI/L87asVmp2zp3puEYPLAQBAoFQNNv/Ll8v1t69XqHf7JI3p3s50LADwy7qdRbrz3YVyu6XLRnXW+Udkmo4EhCSKHkAISIhx6NmLB8vxbIHpKOHHskn2GMke7ZmL0eDF/fp2BNRXcPChYNDo56yr6NGcP0Nk7EpAYL03Z6NenZ4rSXrsgsHqkZZoNhAAAAg7V4/toqVb8vXJgi265a35+uyWccpqG286FgD4JP9Aua57fa4KSyt0RJfWuv+0vqYjASGLogcQIrLS22jqhb/q3Nd+kuV26dbxXXXxER3rbknVYKurBtpX1TfL4rAWUrVfz0tbq3pfr54ZGw0+Zx2tuvxpYeV2SRUHPB/wT5OKLL7sVvFWDGrqcwai+BSo14uMnTEz1+/Wnz5dKkn6zfG9dELfdMOJAABAOPIMNh+gtTuKtGRLvq55bY4+vnmMkthdCiDIVThduvXt+Vq/s1jtU2L1zCXDGFwONAFFDyCEjOvdUTecNk4PfrFcf5xcqNSsRC4e1qXmsHKvc09qfq+OYpDXIk1981B8eT1/Cj8+zCoJWPGq9nNW+PB7dkpOZ/P/PcOaFWS7hgJfDNpeXKF/f7ld5c4OOm1ge91+XA/Tv3QAABDGYqPseuHy4Trjv1O1ZkeRbntngV664gjZbZGx2ARAaPrLl8s1Zc0uxVX+Nyw1KcZ0JCCkUfQAQswVY7po7c4ivTlzo+54d4E+ummM+rRPNh0ruFjWwYuuaDyvxaCmFn68FZrq2rXk7fUq73OWS87Sys9llR/lh36uqPn90kO/X1F66LGu8hb+Jbs9r9nir9ty0iV9KOnOjCf1j4kTZEXI7hYAAGBORkqsXrxiuM7/3wz9smqn/v71CtrEAAhab8zI1WszNkjytALu3zHFcCIg9FH0AEKMZVl64PR+ytlVrGlrd+va1+bq01vGsgogVLjd9e/0qPf+BlqVNWYXSGN2h9R7f30FDV93uNTXxqzW/Wg5dQ25r7OVl+d+t2XX5oIyFZa6tceeqj9ePEGxURQiAQBAyxjYqZX+M3Gwbnl7vl6amqMeaYm6aESW6VgAcIipa3bpwS+WS5J+OyFbE/pnGE4EhAeKHkAIirLb9MzFw3T2M9O0flexbnhjrt6+blTzXVCsulAf8Avh/l549+GCeGMvntfbysqX1/PxQr8/80bQRFattk0OLy2d6rl479OFfn+Gy3tpKdVg+6jGzBhpzOyReu7300OfL9Or03MVF2XXB9eOVmoaq5UAAEDLOnVge63b2UuPTlqt+z9dqs5t4zWmezvTsQBAkrRuZ5FufmuenC63zhnSUTcd3d10JCBsUPQAQlRKfJRevGK4znp6msZueVkbHrtfvdLiZfl6od+f1f9ym/5xI4dVz4XyQy7A+3jxvjEX+lv0YrqfF94P+bkaKg7QRsmUN2du0KvTcyVJj10wiO3ZAADAmNuO7aE1O4r0xaKtuunN+fr0lrHq2i7BdCwAEW7f/jJd8+ocFZRUaFjn1nr43AG0AgYCiKIHEMK6pSbquYsGaPDblyl+f6mUazpRGLNFSfZoyV71ucbXjujD7/P565r3RQWwANGE+4EmmLZ2lx74fJkk6d6TsjWhf3vDiQAAQCSzLEuPnDdQm/bs18JN+3TNa3P0yc1jlRIXZToagAhV7nTppjfnK3f3fnVsFaf/XTZMMQ676VhAWAl40ePBBx/UQw89dMh92dnZWrlyZaBfCoCkMdkd9NW4t/TzL5Nkk0uXHNFJgzom+tlOypd5En60mGrU6wX5zIaqYdPhO2/6IJ+LJI3ZQdLQ4xvTFqqp91NICpTV2wt145ue7dlnDe6gm8d3Nx0JAIIS75mAlhUbZdfzlw/TWf+dpvU7i3XjG/P02tUjFO2InPM0AMHB7XbrDx8v0Yz1u5UQbddLVw5Xu0RmtAKB1iw7Pfr166cffvjh4Is42FACNKdTTzhB80o66uVpOfp0jk1vDByhkd3amo4VGHW25qpoxoJMoO43VEhqaKaJLzNF3E7JGUQFp3DQpNZezVXACWwhaV+JU498u0OFJZ00rHMb/ePcgWzPBoB68J4JaFlpSbF68YojNPG56Zqxfrd+99FiPXr+IM5XALSoJ39cqw/mbZbNkp66eIh6ZySbjgSEpWY5s3Y4HMrIyPDp2NLSUpWWllbfLigoaI5IQNj746l9tHXfAX27LE/XvT5XH988Rj3SkkzHajqbTZLN0/oJTed2GyjI+HG/s9xTuHGWVX6U1/F1Xff5cKzJIfIRUEhqJekFSfe0ekh/vPxmxUaxPRsA6uPPeyaJ901AIPTtkKxnLh2mq1+do08WbFGn1nG6+8Rs07EARIgP523WYz+sliT95az+OrZ3uuFEQPhqlqLHmjVr1KFDB8XGxmr06NF6+OGHlZWVVeexDz/88GFbuwH4z26z9PiFg3XRCzO1YOM+XfnKHH188xilJcWajhZ+3O4AFA1q3l+7IBCggoJfOf3cVdIcLc5MFiUintXoXSNuy6YN+0pVUOJUvq217rj4TLVOiDb9AwFA0PPnPZPE+yYgUI7ulaq/n91fv/toiZ76aa06torThSO8/7sHAIEwdc0u/f6jxZKkm8Z31yUjOxtOBIQ3y+12uwP5hN98842KioqUnZ2tbdu26aGHHtKWLVu0dOlSJSUdvuq8rhVLmZmZys/PV3IyW7wAf+0uKtW5z05X7u79GtAhWe9dN0zxDqvxF+fdrmZq6+RqxIVyX1+zMc/tw0X8qmMU0P9swh++tG6ybM3Y5snmub/ZWkVZAZgjUs9r1ve6jeB2u/WHT5bondmbFBtl0zvXjdKQrNYB/qMDkaGgoEApKSmcA0cIf98zSbxvAgLt0e9X6cmf1spus/TSFcM1PjvNdCQAYWrFtgJNfG6GikordMagDnr8gsGy2WitB/jLn/dMAS961LZv3z517txZjz76qK655poGj+cNH9B0ubuKde0zX+sN52/V3tpjOk7kOeSiuC2wF61r32/VtUK/MRfy68gWkOf2ltvfwoQ9ogaCh4qnf16rR75bJZslPXfpMJ3Yz/c2LQAOxTlwZPP3PZPEPzNAU7ndbt39/iJ9vGCLEqLteu+G0erfMcV0LABhZlv+AZ399HTlFZRoRNc2euOaEYpx2E3HAkKSP+e/zT4tr1WrVurVq5fWrl3b3C8FoFKXdgl69Lz+inuvtOGDETiWXbI5fF+df0gxoAmFhwafx9sKf3+Orfk6tR/n7Xl8KOoc9lr1FEgQVD5dsEWPfLdKkvTgGf0oeABAE/CeCWh5lmXpH+cO1Lb8Es1Yv9sz5+OWserYKs50NABhorCkXFe9Mkd5BSXqnpqg5y8bRsEDaCHNXvQoKirSunXrdNlllzX3SwGoYWDfPvrunBm6793psrndumV8V101OrMR8x58aRXlx8yGhlpO1fX6deZ0B67N1SGP83KsL6qGVft4OPzUEgWkgBd+fNj90mLFr6r7vWX1fXv1tLW7dO+HiyRJ1x/VTZeP7tJMf3QAiAy8ZwLMiHbY9NxlwzTxuelavb1IV748Wx/cOFqt4plPBqBpSiucuvmt+VqZV6h2iTF69aoR/LcFaEEBL3rcc889Ov3009W5c2dt3bpVDzzwgOx2uy666KJAvxSABpw0qLO2FLr0f18u10O/7FFcm466cATDshrF7yJRfXNCfJw1UnPQubfX9mcWSYPHNpTdW7HJ22v6UWzyZYh5VVEJzcPHtmxlLksZhS4d6z5fjoFn6vcTeptODgAhh/dMQPBIiYvSK1eN0DnPTNOaHUW6+tU5euvaUYqLZjU2gMZxujzt86as2aW4KLtevnK4MtvEm44FRJSAFz02b96siy66SLt371ZqaqrGjRunmTNnKjU1NdAvBcAHV4/rqp1FpXr2l3X6wydL1Co+WhP604bGb5Yl2R1qgQ1yHm639wJDfQUYfwstXp+ruV+7juNdFZKzrPKj5tflkqv84NfOml+Xeb6Hpqv+m9T/+4yW1N2SzmyzUcedP4gBfADQCLxnAoJLx1Zxev3qkZr43HTN37hPN701Ty9cPlxRdlqsAvCP2+3Wg58v05eLtynKbul/lw3TwE6tTMcCIk6zDzL3FwP5gMBzu9267+MlenfOJkU7bHrtqhEa3b1tY5/s8BX6/uwa8On4QD6XL8fXtxvCS4ssf4/3t5Dgy84HtBDLhxZSXnZG1GyH5cvME3+Pr6+Nltdh8Y07fvcBpx74fKW2F5UrM621/u/GS5QYF2P6jwOEDc6B4S/+mQECb27uHl360iyVlLt01uAOevT8wSzwAOCXxyat1hM/rpFlSU9eOESnD+pgOhIQNoJqkDkA8yzL0l/P6q+9+8tUseJrtXr99yptZVeM3V3rwr2XwoO/bYjQMqy65jPUNePC19kPtgaOb6YL9w0e38T8TX5t3ujuLS7Thf+boTWF3dWtXYKeu240BQ8AABB2hndpo2cuGarrXp+nTxduVeuEaP35tL6yOB8E4IPXZ+TqiR/XSJIeOqMfBQ/AIIoeQIRw2G164sIh+vnxJ9WnOFfKN50ogtmjJVuUZI/yfG2v/NpW63bV19XHVt0XLdkc9Vzor+vCfkMX++sqnvjzPPUVXKyGdxvU9RgEhf1lFbr6tTlas6NI6ckxev2aEWqbSMEDAACEp2N7p+vfEwfqN+8t0ivTctUuMUa3HNPDdCwAQe7zRVv1wOfLJEl3HNdTl4/uYjYQEOEoegARJDbKrnG3/E/3PjtGW3fvU3pilO4/JVut4+x1tGmqqxWT6/BdH/XtCvE666GuFlB1taSq/f06ZkYcNjC7Mc/tbNk/RNWsCkZR1MPysvvClx0ctgaKMN6ep4Hn9ukxdRWHfClMWX4+j5fCVF1Fprp2s/hYZCqrcOmmN+drwcZ9SomL0hvXjFSn1gzgAwAA4e3sIZ20p7hcf/lyuR75bpVax0fr4pFZpmMBCFK/rt6pu99fKLdbumxUZ915fE/TkYCIR9EDiDBJ8XH67fVXaeJz0zVt934t+zlJ714/Sq0Tok1HM8vbXI0G23/5MLujScWhBgpGPj2mvuJQPUWmun7mw56nMc/tS5Gp8nfobOGCVCSrVTxxWzaVl7v1m4o0LY66Xy9eOUa90pNMpwQAAGgR14zrqt1FpXrml3X606dLlBIXpVMHtjcdC0CQmb9xr258c57KnW6dNrC9HjyjHy3xgCBA0QOIQKlJMXrjmpE699npWrW9UJe/PFtvXjtSKXFRpqOZY1mS3aEm/2fR7a6n6NFQEcPPYoK3XTeHFXB8eZwPu2sOK974m63m5wrJWS65yit3vlR4PrvKD37tLGv5XTiRrFaRyZKUIKm3VaL/nt1Twzq3NhYNAADAhHtPytbe/WV6Z/Ym3fHuAsU4bDq+b7rpWACCxNIt+bri5dnaX+bUkT3b6dHzB8tuo+ABBAPL7Xa7TYeoyZ8p7ACaZs32Ql3w/EztKS7TuE4OPX9eN8U7rDouojfy4ntTL4wfUgBwN/01DruvntfwpyDBoPcQUbuFlM17myivraW8HeutdVU9s0sOa2lVTzuthlpm1TvovZ6frY6WXW7Lpmcn5+qLJXlyWzb95pzxOml4b9N/PCDscQ4Mf/HPDNAynC63fvPeQn2+aKui7Ta9dOVwHdkz1XQsAIatyivUBc/P0L795TqiS2u9dvUIxUezthxoTv6c//JvIxDBeqYn6c1rRupPz7+nl3bep5jnGDIRNGyOGoPNa31dNQjd14vgh93X0DwJH4sBDc24aNIFfh/nX9Q7NL3274QVNw1xu936+9cr9MLiGFlWZz06cZBOGtLJdCwAAABj7DZL/zl/kEornPpu2XZd9/pcvXbVCI3s1tZ0NACGrNtZpEtenKV9+8s1KLOVXr7yCAoeQJDh30ggwvXtkKy/XDBG299tozT3Hjkst+yWWxZthcxyVXg+Kg7Uc5DlvVjg7/31Fk58vb+uQklj72+ogNES2SKviPLYpNV6YUqOJOnvZw/Q2RQ8AAAAFGW36amLhuqGN+bq51U7dfWrc/TmtSM1JIv2n0Ck2bRnvy55YZZ2FZWqb/tkvX7VCCXFRnCrcCBIUfQAoH59+mnOVTN10kuzdaDcqRP6puuZS4YqylI9raPcPrSU8nUGRT2torze30CLLL/ur6d9lr/3e2235ef9PrXJYti3WVaACjI+7I7x6X4vu3B8vH/a+r36aUU7Sd30wOl9ddGILNO/YAAAgKAR7bDp2UuH6epX52j6ut264uXZevu6UerfMcV0NAAtZFv+AV30wkzlFZSoZ1qi3rhmhFLiKXgAwYiZHgCqTVu7S1e9OkdlFS6dOrC9nrxwCEO4TDlsIHojCkvVw8IrPzvL6vm6/PBh4jWHjNf5ddVzl/n2OrVfg/knQWeLu60+P2aSbhrf3XQUIOJwDgx/8c8MYMb+sgpd8fJszcndqzYJ0Xr3+lHqlZ5kOhaAZrajsEQX/m+m1u8qVpe28Xr/htFKS441HQuIKMz0ANAoY3u00/8uHabr35irrxZvk8Nm6T8TB8lht/n3RDV3LzS4c6OO3SONeUztXRI+Fwfqe0wDz9Usj/FW6Kjvd9PYnSIIDrV2jNTZjqyBllv17uaor02XpZw9JVq6tVBO2RTd52QKHgAAAPWIj3bo5SuP0KUvztKizfm6+IVZeue6kepJ4QMIWzsLS3XJC7O0flexOraK01vXjaLgAQQ5ih4ADnFM7zQ9ddFQ/ebt2Tpr2R3KX5unNvEOWXVepPdSjEDo8NryqIHZF01+TF0tmhqYsRGwxzTHz1mjsNDgPJXgmQ3y0tQc/WXBcknSDUd30+8n9DaWBQAAIFQkxUbptatH6OIXZmn5tgJd+PxMvX3dKGVnUPgAws2OghJd9MJMrdtZrPYpsXrnulHq2CrOdCwADaDoAeAwE/pnKPq8Hhrz2XLFVJRLBaYToU6WXfr/9u47PMoy6+P4b0p6o6RRQgu9hhICYkFF0LWBrrpWQBfLIuriqrjvCuu+7rq7uu/isra1gCIqggVcRUUUbPQqJUjoJKRBOiSTzDzvH4GYhLSBJM9k5vu5rlxk5plyyDyE+54z5xybn2T1k2z2U3/6V/reT7Lay/+0+f/8fcWxBiQQ6nrT3p1jdSUC6qpMOOdjdSUlqh3zMa98s09//nSXJOk3o+P1yLhesvjgzwEAAOBstAr219tTknTba2u1PTVfN7+yRgt+naQ+7Wg3B3iL9Lxi3fJKeUur9hGBeufuEerUNtjssAA0AEkPADW6ZEhffWOs1L8//FIup1Mju7bWA5fEy8/i+rk1U10tndw+Vlv7pga2dmrwMaOWdlN1HautTVUtlS7N1VrKcEplTknFzfN83s6tBFA9yaFGS/I0sOrEzcTVyj3H9da21pJiNe2S7pp+WU8SHgAAAG5qFeyvBXeN0O2vr9W2I3kViY9+7RluDrR0R/NO6ub/rNGBYyfUoVWQ3r17hOLakPAAWgqSHgBqdeHQ/ioLidK98zdpwz6XkgND9PwtQ+Rvd3PGhy+qa9ZGYx9zucqHhbtKTw0PL/35+ypDxOs6Vun+Z1yuYVh5ffeRYfYr4D7j9AD4UrMjaXKjJb3q10GfXPiRHhrT0+xwAAAAWqyIYD/NvytJE19fpy2Hc3XLK2u14NdJ6t+BxAfQUqXmlic8Dh0/obg2QXpnygh1bE3CA2hJLIZheNQ7U+5MYQfQPL7enal75m+Uo8ylMb2j9PzNAxRgtdRTxVG9CqJ6tUYtb+afcbye6gt3n685n+usHu8s4muJCQacYqmlNdi5VphUP15eSXIwp1h7s0/KJYtcfa7V2Ft+a/YPAMAprIHhLs4ZwLPkF5dq4uvrtPlQrsID7Xrr10ka2LGV2WEBcNORnBO6+ZU1Onz8pDq1CdY7dzPDA/AU7qx/SXoAaJBvfsrSI29+rQ9sM9TBcszscOC2s3hzvWIIeM1voNf7eA16rIa9We9e7O7MGGnAzI+z/jk1JJbmaSllGIb+ufwn/eurFEnSI+N6aerF3ZvluQE0DGtguItzBvA8BcWlmjR3vTYezFFYoF3zJg/X0M6tzQ4LQAMdPFakW15Zq9Tck+rStjzh0S6ChAfgKdxZ/9LeCkCDXNgzSnNuGqiQxSVmhwJ3WKzlA8yt9qpv0p/TG/sNTUzUkAxojGTG2SRIzinpcg7Jjroet5m4XIb+9N+dmvfDAUnSY5f31n2j45vt+QEAAHxFWKCf3rhzuO6cu17rDhzXba+u1X/uGKoLekSZHRqAeuxOL9Btr61VVkGJukWG6O0pIxQbEWh2WADOEkkPAA02fEBvrQ/aqIfnf6sTJaXq2y5Uz900UK0DbQ1vz3Q27a/Opk3U2bSKOptWXGfTsuqc2ly55FY7K8N1ah6Ho8nOC5ylepM+51D1cuo2LlmUkn1SrfM6SbpBT17TTxPP62L23xwAAMBrhQbYNe/ORN0zf6O+3ZOtu+Zt0L9uTtDl/duZHRqAWmw+lKNJc9cr72SpeseG6c27his6jIQH0JLR3gqA27an5umO19fpeJFD3aNDNf+u4S2/5NMwqiY73ErYuGpJlNSUYKkj2ePOc9Y6ULyshmPVh5LXMojc5WzYY6LFOWn46/Or1mp8YjezQwFQC9bAcBfnDODZSsqc+u3CLfr0x3RZLdLfrh+oG4bFmR0WgGq+T8nWlDc36ITDqSGdWmnupOGKCPYzOywANaC9FYAm1b9DhN67Z6Ruf22tsjLTtXTOdP2qf5giAu3uVWvU+8Z/TZerV0I0NAFRTxyGy+wfKxpVbe24aquiqKclVZ2trGqqwKjpseqvzKi/NVbD4i9xWTRv9UHtzjghq9Wm634xjoQHAABAMwqw2zTn5iEKC/hRCzcc1iOLt6mguEx3nt/V7NAAnPLZ9nQ98M5mOZwuXdAjUi/fPlTB/rxVCngD/iUDOCvdo0O16N6RWvTSk7qn5G1pi9kR4exZJJvfqdkffpLNXu17v1PHbZW+P3X59PdVblftWJXv7dVue+q5anycmo41MJ5mHhTuSXJPODRp7nptORqlYH+bXr1jmM7rHml2WAAAAD7HZrXor9cPUFigXa9+t19/+u9O5Z0s1UNjesjig+tUwJMs3nhEjy7eKpchXd4vVs/dnKAAu83ssAA0EpIeAM5ax9bBuv2uhzT/9Xw5CnMUaJcu6x2p6FD/+qsyqlR51DPvoraWUe5UgdRXHeLOnAyvY3j33I8GV1PUVtlRT6WFO1Uf9VZ+1DP0vZ7HzS9x6pX1udp5PEGtgoM1b/JwJcS1MvsVAAAA8FkWi0X/c2UfRQT56R/Lf9JzK/Yo72Spnriqr2xWEh+AGV77br/+9787JUm/HNpRf71ugOw2q8lRAWhMJD0AnJPI6Ha65sF/6c5567XxYI6e3G7Vczcl6IoBLWxQX0XypaFJlgYmb+qdseGsZXZG9e+r37ehj1NtVoer7Od5HdW/d5WZ/So0DcNZ/iVJTnNDaWrhkh6RlBvyW90x5WH1ig0zOyQAAACfZ7FYNO3SHgoP8tOspTs074cDysgv1j9vSlCgH58sB5qLy2XoL5/u0qvf7Zck3Tmqq/5wZR9ZSUACXoekB4BzFhHkp7fuStK0dzbpy12Z+sc7H6vVjuMa2bVNHVUc1eZ41Fbh4W6VR21Dw+s7dtbVKHX8PXy6esRH1FSd0aDKjQZUijSgsuP098dOlGnj4Tw5nJIzsI1+M/FOdSDhAQAA4FEmntdFrUP89bv3tmrZ9nRlFazVK3cMU+sQf7NDA7xecalTDy/aqk+2HZUkPTKul34zOp5Wc4CXIukBoFEE+dv00m1DNWvpDt25+WHFJx+Vks2OCo2q1nkatpqPVczjsJ/5vdvHKs/sqD57pNpli632JEJtCYQa205Z6mh/dSqx4QGWbk3T797bKofTpWGdW7NxBgAA8GDXDGqvqNAA3T1/gzYczNH1L/2gNyYPV1ybYLNDA7xW7gmH7n5zo9YdOC4/m0V//+VATRjc0eywADQhkh4AGo3dZtVT4/trRclvtGfHUlnlUrvwAPVtFyqbqldCGLVUY9RRdXHGsbqqNWq4L87N6RZYZSfNjqR+tSY66qqkqO9YTRUd53rfhjxuzVUhhixafzBXr+2KlsPoriv6x9IiAQAAoAUYGd9W7993nia9vk77soo04YUfNG9yovp3iDA7NMDrHMk5oUlz1ysls1BhAXa9dPtQjeoeaXZYAJqYxTAMj+q/kp+fr4iICOXl5Sk8PNzscACcpQ83H9Gji7ep1GkoqWsb/ef2YYoI9jM3qDqTKbUkYirP5aiYlVFtDkaVGRmV5mtUuVx9/kZtlys/V7XZHRXPVdtl55mzPE5fPj3TAl7niBGp14Yt1R+uZBgm0JKxBoa7OGeAli89r1iT5q5TcnqBgv1teuHWIRrdK9rssACvsSMtT5PnrldmQYliwwM1d3Ki+rTj/0ygpXJn/UvSA0CT+T4lW/fO36iwknQ9HP6lxnYPUZi/rY6kg6vmxENDKznOmNlRbdZHXXNDapshwlwO31Sl9VVd8zqq36amllgNaafV0GoRq0oNqzYezFVqfokMWdV60FW69Jf3mP0TA3COWAPDXZwzgHcoKC7VfW9t0ncp2bJZLXrymn66bURns8MCWrwVuzL0wDubVeRwqldMmObdmah2EUFmhwXgHLiz/qW9FYAmM6p7pN67d6RWvvqYrncslXaaHRGaXOW5HFXmflS6bLWfOY+j+ryOijkh9cz7qPxclWd/1Hm/6jNHqs0kqTc5UUuConqSogkcyTmhX7+xQcnHCuRvt+ofNwzSpYPaN8lzAQAAoOmFBfrp9UmJmvHBNn2wKVV/+Gi79mQU6Imr+spu84wZckBLYhiGXvl2n55elizDkM6Lb6sXbxuqiCCTO08AaFYkPQA0qT7twhV59xN67c1g5eXmym41dHHPSA1oH1atUqOuSozqradqqMioOF7D/c+oEKl+O6OWxzx9rKbHrCkmZohUtOZC7ZUip5MiNSZTbFWqOionU06UupSbU6YYx/XKDh2u/9wxVEM6tTb7bwkAAIBzdPrDLPFRoXrm8916Y/VB7c0q0vO3DDG/RTDQgpSUOfU/H27X4o1HJEm3JHXSk9f0kx8JRMDn0N4KQLMoLnXq0cXbtHRrmiRpSlKMHrukg+wW1dymqtYkRD0tsOpsddWAZEadiRI3vlynYjtjrkdNszvK6p4DUnG8hpkhrjLfTbD4qCUBVyvxvlfUvhWl2YA3YQ0Md3HOAN7ps+3p+u3CLTpZ6lS3yBC9OnGYukWFmh0W4PGyC0t07/yN2nAwR1aLNPOqvpp4XhdZmqgKH0Dzo70VAI8T6GfTc79KUM+YUH2yfLmmb5kk+1aH2WHBDBZrpXZSldpPWWynqh9qaR1Vb5VEA75qnMfR0PvWUoVR00yPutpe1XrfM487LVa9vylNy3ZkypBFgzpH6547blVwEAkPAAAAb3R5/1jFtRmpKW9s0L7sIo1//nu9cOtQnd8j0uzQAI+VnJ6vu+ZtUGruSYUF2vX8LUN0Yc8os8MCYCKSHgCajcVi0f2X9NCgoEwVfRakIJH08EmGS3I6yr9Kqx+sK2lQW8KhesKgtoRIzW2j6jzu1ld9Q8yrP35Ng8x/vnyyzNDCbTl6NrWfCtVBD1zSXQ+O6SmrlU8qAQAAeLN+7SO05P7zdc/8Ddp0KFcT567TE1f24VPrQA0+35Gu6Qu3qMjhVJe2wXp1YqK6R1MdBfg6kh4Amt0FI0dpR+cfdc289UrPP6kwf4v+fl1/jesbXU8rq3rmcVSfuXG6DZSzWouoM9pK1dJmylVWSxuq6tfVcfyM+zfk+Std9rnWVafbjjnNDsR0QZImScr2u1k9fzlT1zCwHAAAwGdEhQXo7Skj9PsPftQHm1P1x493asvhXP3lugEK9uetHKDM6dI/lv+kF1fulVQ+sPyFW4eoVbC/yZEB8AT8TwnAFP3aR2jJtAt0/9ubtGf/AYW/f7OOLStQm2C7LPUNJq8r2eHLQ8TRcPVWbNTTXqtBFSe1VX3Uff/UvGL9mFagMpdFhn+orrrxPvXuS8IDAADA1wT62fSPGwepb/twPb0sWR9tSVNyeoFevG2oukaGmB0eYJrswhI98M5m/bD3mCTpzlFd9fgvejOwHEAFkh4ATBMVFqAFv07Smx+ka+SOnVKJyr8Ai/XnWR9We3nyoN7Lfg28fT3zN842wXGOtyl1WfTOlmw9tT9aDvnpwp5Reu6mBLUO4ZNKAAAAvspisejXF3TTgA4Rmvr2ZiWnF+iaOd/pHzcO0th+sWaHBzS7zYdy9JsFm3Q0r1jB/jb97fqBupqqeADVWAzDMMwOojJ3prAD8B6rVq/Ra8t+kKPMqTZBdj14abx6RYfUX9HRkKoPw9WAllP1tJlynWq5VGebqwY8RuXLQA1ml10n10WP68FLe8jG/A7AZ7AGhrs4ZwDfk5FfrKkLNmnDwRxJ0m9Gx+vhsb1YM8InGIaht9Ye0p8+3qFSp6FuUSF6+bah6hETZnZoAJqJO+tfKj0AeISLRo5Qh/j+uvetjcrK2q3iz/6o/JAShQVYZak3qUGrKzS2c63wqH689ssFJS7tP3ZSDpfksAbq/Ctu1bBRPc3+AQAAAMDDxIQH6p27R+gvn+7S3O8P6IWVe7X1SK5m3zRYUWEBZocHNJkTjjL94aPt+mBTqiTp8n6xeuaGgQoL9DM5MgCeiqQHAI/RPTpUS6aO0oI3tmpQ2l7ppMq/gNo0pAWWxeZmmyxbtZkelgYmOmq4TY3Jk/LrnLJo5Z4c/Wl/Fx00YtS3Xbheum2oOrUNNvunCgAAAA/lZ7Nq1tX9NLhTaz22eJu+TzmmK577Vv934yBd2DPK7PCARrc9NU8PvLtZ+7KKZLVIM67orSkXdJPFQoUTgNrR3gqAxzEMQ0u//FrvrNomp9OpNsF2TR8Zrl5t/X9uDVW9ZVWV9lGnW1HV1YKq+p/Vjle5f123qeE41SVww0rnIC0f8ryeuKqvAv1sZocDwCSsgeEuzhkAezIKdP/bm7U7o0CSdM+F3fTw2F7ytzPMGS2fYRia+/0B/XVZshxOl2LDAzX7Vwka0a2t2aEBMIk761+SHgA81q6j+Zr2zmZde/x1TbN/ZHY4aKlqG4peUQFiPfW9rfbKjTrbXVka1u7q1GMcySvR1iP5crgkq82u2IvuUtLF15r9UwJgMtbAcBfnDABJKi516s+f7NL8NQclSQM7RuhfvxqsLpEhJkcGnL1jhSV6ZPE2fZWcKUm6rG+M/n79QLUO8Tc5MgBmYqYHAK/Qp124lt4/Sl/OW6GSVD/5qUxWi0fladESGC7J6Sj/qpPlzGSH2wkQ1XrMZUhHCxxaWxSr35Xep2Fd2mr2rwarQ6ugZvghAAAAwBsF+tn0v+P76/wekXp08TZtO5KnK//1rf48YYDGD+5gdniA275PydZvF25RZkGJ/O1WPXFlH902ojPtrAC4hUoPAC3CJ9uOasYH21RQXKbbA77RxC55io8MlKWmNlQ1trZyVWpHVblNlbOGNlU1XXfqe3nUr0y0QA7DpldHfKG7xw6R3UbrAQDlWAPDXZwzAKpLyz2phxZu0br9xyVJ4xPa68lr+isimGHP8HzFpU793/Kf9Mq3+2QYUo/oUM25ZbB6x/J/HIBytLcC4JWO5JzQ79/+Vm9m3Wh2KPA6lqpDzS228rZXldtiWaw13MZW7TprlRZaTlmVfKxM/0nvqXwjSK2CAzTx6jFKGDTY7L8wAA/DGhju4pwBUBOny9DzX6do9pc/yWVI0WEB+tv1A3Vx72izQwNqtfVwrh5etFUpmYWSpJuHd9LMq/oqyJ+ZhwB+RtIDgNcqc7r01eIXtH/7OhmGS8F2Q1dEZioywFWp6qP6oHFXtcs1VH4wfBxN6JWyX2jXwMc06+p+igjik3YAzsQaGO7inAFQl82HcvTwoq3al1UkSbpxWEf94aq+Cg9kLQrP4Shz6V8r9ujFVXvldBmKCgvQ0xMGaEzfGLNDA+CBSHoA8Hq70wv08KItuj5jjibbPzc7HPiK05Uc1as8Koai22RYrEovC9G+/PI5HoY9UAGXPKakC8aaHT0AD8YaGO7inAFQn+JSp579fLde+36/DENqHxGov/9ykM7vEWl2aIB2pOXp4fe2Kjm9QJJ0zaD2evKafgwrB1Arkh4AfEKp06Uv33tBfZLnyK4y2S1SWz+H/ErzzQ4NPq7ICNA4x980eGCC/sTCHUADsAaGuzhnADTUuv3H9cjirTp47IQk6dakTppxRW+FUfUBEzjKXHpx5V7N+WqPylyG2oT468/j++uKAe3MDg2AhyPpAcCnbE/N0+8WbVVAxmYtCZhpdjjwUYYschoWuWRRhiVKyb9YrMuGDzA7LAAtBGtguItzBoA7TjjK9NdlyXpz9UFJUkx4gGZd3U9X9I+VxWIxOTr4irX7jul/PtpeMbvj8n6xempCf0WGBpgcGYCWwJ31r72ZYgKAJtO/Q4SW3D9Ki5cek7aZHQ181Y+uLrrW8b+6alBHzbyqry4LY+EOAAAAzxDsb9efru2vy/vF6vcf/qgDx07oNws26ZLe0Xrymn6KaxNsdojwYjlFDj29bJfe23BEkhQZ6q+ZV/fT1QPbkXQD0CSo9ADgVVKOHtNTH23WgUMHtDLgYbPDgQ/ZY+mitF99oYt6MXQPgPtYA8NdnDMAzlZxqVMvrNyrF1emqNRpKMjPpofG9NCd53eVn81qdnjwIoZh6INNqfrzp7t0vMghSbolqZMeG9dbEcG0VwPgHtpbAfBphmFo6eofde0XF5gdCrzcXlc73Vb2hG4f2Vl3jktSoD8LdwBnhzUw3MU5A+BcpWQW6vcf/qh1+49LknrHhump8f01rEsbkyODN0jJLNDMJTv0w95jkqReMWH6y3X9NbQz5xeAs0PSAwAkHS84oX98slXfbd2pVQHTzQ4HXuirwMvUcfJc9YwJMzsUAC0ca2C4i3MGQGMwDEOLNx7RXz7dpZwTpZKkqwe114wreqtDqyCTo0NLlHvCodlf7tH8NQfldBkK9LPqwUt76tcXUEkE4NyQ9ACAStbuSVOnd0arnSvD7FDgBQ66onW9/wt6ZFwv3TA0TlYrPWgBnDvWwHAX5wyAxnS8yKG/f5ashRsOyzCkALtV91zYTfdcFK+QAMbBon6lTpcWrDmof365R3knyxNol/WN0RNX9lWntsyMAXDuSHoAQDVOl6H3NhzWx58t09uuR80OBy3YF51/p5E3z1BYIK2sADQe1sBwF+cMgKawIy1Pf/p4p9aeankVEx6gR8f11oTBHfiwD2q1cnemnvpkl1IyCyWVt0p74qq+GtU90uTIAHgTkh4AUIv8E8VKmXevhmR+aHYoaGGmdV2m3101SJ3bhpgdCgAvxBoY7uKcAdBUDMPQ5zvS9edPd+nw8ZOSpIEdI/TIuF46v3ukLBaSHyi3PTVPz3y+W6t+ypIktQnx18Nje+pXiZ1kI0kGoJGR9ACAehzILtLHi17XtIw/mB0KPFi+Eaw9fr3kf9lMDUi6xOxwAHgx1sBwF+cMgKZWXOrU3O8P6PmvU1RYUiZJSuraRo+M68Wwcx+3J6NA/7f8Jy3bni5J8rNZNOm8Lrr/kh6KCKIiHkDTIOkBAA20detmfbRyraYf/6PCLCfNDgce5tOxX2vciMF8SglAk2MNDHdxzgBoLlkFJXphZYoWrDkkh9MlSRrdK0q/G9tL/TtEmBwdmtPBY0V67ss9+nBLqgxDslik8Qkd9NCYHlTEA2hyJD0AwA2GYWjT2pVK+Ow62eQyOxyY7H3rOBWPe0Y3DouTn81qdjgAfARrYLiLcwZAc0vLPak5X+3RexuOyOkqfyvpiv6xeuDSHurTjt9D3uzw8RN6YeVeLdpwWGWnXvvL+8Vq+tie6hkTZnJ0AHwFSQ8AOAuGYeiLbYc19KOLFGkcNzscNLPFlrGK7TlMwyY8qMDAQLPDAeBjWAPDXZwzAMxyILtIs7/8SUu2pun0O0oX94rSfaO7K7FLa2Z+eJHk9Hy9vGqflm5Nq0h0XdSzvMpnQEeqfAA0L5IeAHAOnC5D/92WpqJls3RLySKzw0Ez+K7bbzX4pj8oJMBudigAfBRrYLiLcwaA2X7KKNBzK/Zo2Y9Hder9cA3t3Fr3XRSvS3pHy0qL2BZr/YHjenHlXn2VnFlx3fndI/XgmB5KZJ4LAJOQ9ACARuByGdrww5faveYT3V441+xw0ASWJ76iC8Zer0A/m9mhAPBxrIHhLs4ZAJ7iQHaR/vPtPi3ecKRi5keP6FDdfWE3XT2oPWvtFsLpMrRiV4b+880+bTiYI6l8ZscvBrTTvRfGU9kBwHQkPQCgke1as0wHfvhAV+S/Z3YoaARfXL5SlyQOkp2ZHQA8BGtguItzBoCnycwv1uvfH9CCNQdVUFImSWod7KcbE+N0W1JnxbUJNjlC1CS7sEQL1x/W22sPKTX3pCTJ32bV9UM76u4Lu6lrJAPKAXgGkh4A0ERS9uxSzidPKjF3mdmhwE0/Bg7VsfFv66JeMfQZBuBxWAPDXZwzADxVfnGpFqw5pPmrDygtr1hSecXAxb2idfuIzrqoZxStr0xmGIY2HcrRm6sP6tMfj6rUWf7WYOtgP92U2El3juqi6HDmHALwLCQ9AKCJ5eQcV8rSvytx/4tmh4J6fNHxAfUYP4NPKAHwaKyB4S7OGQCerszp0lfJmZq/5qC+3ZNdcX2nNsH65dCOmjC4A9UfzSy7sERLt6Rp0cYj2nU0v+L6hLhWun1EZ105sB3tyAB4LJIeANBMXE6Xtn73sfxWP6f+xRvNDgeVrBr+soaPuUFB/izaAXg+1sBwF+cMgJZkf3aR3lpzUIs2HFZ+cVnF9YldWmvC4I66ckA7RQT7mRih9youdeqLnRn6cNMRfbMnW85TU+cD7FZdm9Bet4/owrwOAC0CSQ8AMMHh4ye0YcX7mrDjfrND8Vm7w8+T6/K/qXefAbSwAtCisAaGuzhnALREJx1OffrjUX24OVXf783W6Xek/G1WXdonWtcmdNBFPaP44NI5KnW6tGbfMS3dkqZl29NVWPJzomlQXCtdN7iDrk1or1bB/iZGCQDuIekBACYyDEM7t29Wq0/vVYeTu80Ox+sV2CK08+LXNXj4RfL359NhAFom1sBwF+cMgJYuPa9YS7ak6oNNqdqdUVBxfaCfVed3j9LYfjG6tHe02oYGmBhly1FYUqZVu7P0xc50fZWcqYJKFTUdWwdpwuAOGj+4g+KjQk2MEgDOHkkPAPAQDodDm9au1KCvJynIVWR2OF5lc6/p6nb1o4oIDTI7FAA4Z6yB4S7OGQDewjAM7Tyar482p2rZ9nQdyTlZccxqkYZ1aaOxfWN0QY8o9YwJpaK7kkPHTujblCwt35mhH1KOyeF0VRyLDPXXZX1jNWFwBw3r3Jrh8QBaPJIeAOCBSkpLlfL1fPVc/Zj8DIfZ4bRIaxKfU5+Lb6XfLwCvwxoY7uKcAeCNDMNQcnqBvtiRoS92pmtHWn6V45Gh/hoZH6lR8W11XnykOrX1rUHomfnFWr3vmL5PydYPe49VSRBJUtfIEI3tG6Ox/WKUENdaNhIdALwISQ8A8HAul6GU9Z8pfNUsxZ6gBVZd1o99XwMSL1agH319AXgv1sBwF+cMAF9wJOeEvtyZoRXJmVp/4LiKS11VjndsHaThXdsoIa6VBnZspT7twhRg9459Q5nTpT2Zhdp6OFdbj+Rpw4Hj2pNZWOU2dqtFCXGtdHHvaI3rF6P4KCphAHgvj0h6PP/883rmmWeUnp6uQYMGac6cORo+fHi992PxDsAX5eTl6+jXL6vvlqfMDsV0h9pfIftls9S+ax+zQwGAZsMa2Ded7Z5J4pwB4HtKypzafChXP+w9ph9SsrXlcK7KXFXf0vKzWdQ7NlyD4iI0sEMr9YgJVbeoUEUEeXal+AlHmfZlFSkls1A/puZp6+FcbU/LOyPJY7FIfduFa1T3SJ0X31aJXdooJMBuUtQA0LxMT3osXLhQd9xxh1566SUlJSVp9uzZWrRokXbv3q3o6Og678viHQCkjIyjKvjiaXXf+4bZoTS5jNZDVTLu74rrNZRPJQHwWayBfc+57JkkzhkAKCop07oDx7X5UK62HcnV1sO5yjlRWuNto8IC1C0yRPHRoYqPClWnNsGKCQ9QbHig2oYGNHkbKJfLUM4Jh9Lzi5WZX6IjOSe0N6tIe7MKtTezUGl5xTXeLzTArgEdIjQwLkKD41opqWtbtQ7xb9JYAcBTmZ70SEpKUmJiov79739Lklwul+Li4jRt2jTNmDGjzvuyeAeAM5WVnFTals/VadlEs0M5Z4eGz1TUxVMVFBRodigA4DFYA/uec9kzSZwzAFCdYRg6knNSW4/katuRPG1PzdPerEJl5JfUeT+b1aKo0ADFRAQqOixAYQF2hQTYFRpoV2iAXSH+NoUE2OVvt9Z4/zKnoSJHmQpLylRYXKaikjIVljhVWFKq7EKH0vOKlVlQrFJn3W+/tQnxV7fIEPVrH66BHVtpUFyEukWGMoAcAE5xZ/3b6DVwDodDGzdu1OOPP15xndVq1ZgxY7R69eozbl9SUqKSkp//A8rPzz/jNgDg6+wBQeqUNF5Kyqtyfe6RZFk+fUQRad+YE1gdHIFtlXftfLXtkSSr/ef/bjqZGBMAAJ7A3T2TxL4JAOpjsVgU1yZYcW2CddXA9hXXFxSXan/26aqK8j/Tck8qPb9YWQU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      "text/plain": [
       "<Figure size 2000x2000 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.linspace(-5, 5, 100)\n",
    "\n",
    "fig, axs = plt.subplots(figsize = (20, 20), nrows = 3, ncols = 2)\n",
    "\n",
    "i = 0\n",
    "for xList, countIter, eta in zip(xPointList, countIterList, etaList):\n",
    "    axs[i // 2][i % 2].plot(x, x**2)\n",
    "    axs[i // 2][i % 2].plot(xList, xList**2)\n",
    "    axs[i // 2][i % 2].set_title(\"Визуализация метода градиентного спуска при $\\eta$ = {s[0]}.\\n\\\n",
    "    Количество итераций = {s[1]}\".format(s = [eta, countIter - 1]))\n",
    "    i += 1\n",
    "    \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5. Стохастический градиентный спуск:\n",
    "\n",
    "Метод градиентного спуска обладает одним значительным недостатком: при большом количестве примеров (объектов обучающей выборки) реализация метода достаточно трудоемка поскольку градиент функции $Q(\\mathbf{w}, \\mathbf{X})$ представляет собой сумму градиентов на каждом объекте выборки. Кроме того, скорость работы метода также зависит от количества признаков.\n",
    "\n",
    "Один из способов устранения данной проблемы - оценивать градиент не по всем наблюдениям выборки, а лишь по одному, случайно выбранному. Данный подход получил название **стохастического градиентного спуска** [(stochastic gradient descent)](https://en.wikipedia.org/wiki/Stochastic_gradient_descent).\n",
    "\n",
    "В данном случае, шаги метода можно описать так:\n",
    "\n",
    "1. Инициализация начального значения вектора весов $\\mathbf{w_{0}}$;\n",
    "2. На очередном шаге $t$, определить случайным образом объект выборки $\\mathbf{x}_{i}$, на котором будем оценивать градиент;\n",
    "3. Рассчитать значение градиента функции $Q(\\mathbf{w}, \\mathbf{x}_{i})$ в точке $\\mathbf{w_{t - 1}}$, рассчитанной на предыдущей итерации;\n",
    "4. Перерасчитать значение вектора $\\mathbf{w_{t}}$ по следующей формуле:\n",
    "\n",
    "$$\n",
    "\\mathbf{w_{t}} = \\mathbf{w_{t - 1}} - \\eta_{t}\\nabla Q(\\mathbf{w}_{t - 1}, \\mathbf{x}_{i})\n",
    "$$\n",
    "\n",
    "5. Оценить разницу двух последних приближений:\n",
    "\n",
    "$$\n",
    "\\Big|\\Big|\\mathbf{w_{t}} - \\mathbf{w_{t - 1}}\\Big|\\Big|_{L_{2}} \\le \\varepsilon\n",
    "$$\n",
    "\n",
    "и в случае, если она превышает некоторое заранее заданное значение $\\varepsilon$, перейти к шагу $2$, в противном случае, завершить процесс.\n",
    "\n",
    "Очевидно, что скорость сходимости метода стохастического градиентного спуска ниже, чем у стандартного метода, но за счет быстрой технической реализации он, как правило отрабатывает быстрее."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Реализация стохастического градиентного спуска (SDG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Рассмотрим функции"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def mserror(y, y_pred):\n",
    "    return float (sum((y - y_pred)**2)) / float (y.shape[0])\n",
    "\n",
    "def linear_prediction(X, w):\n",
    "    return np.dot(X * w, np.ones(int (X.shape[1])).reshape(int (X.shape[1]), 1))\n",
    "\n",
    "def sgd(X, y, w_init, \n",
    "        eta = 0.01, # шаг градиентного спуска\n",
    "        eta_const = 1,\n",
    "        epsilon = 1e-8, # значение, с которым сравниваем разницу двух последних приближений\n",
    "        max_iter = 1e6, # макс. кол-во итераций (на тот случай, если метод расходится)\n",
    "        seed = 1488):\n",
    "    \n",
    "    w = w_init\n",
    "    weight_dist = 2 * epsilon\n",
    "    iter_num = 0    \n",
    "    errors = []\n",
    "    np.random.seed(seed)\n",
    "    \n",
    "    if(eta_const != 1):\n",
    "        eta = 1.0 / 2\n",
    "        \n",
    "    while weight_dist > epsilon and iter_num < max_iter:\n",
    "        # Определяем случайным образом объект обучающей выборки, на котором будем оценивать градиент\n",
    "        random_ind = np.random.randint(X.shape[0])\n",
    "        \n",
    "        gradList = []\n",
    "        for i in range(X.shape[1]):\n",
    "            gradList.append(2.0 / int(X.shape[0]) * X[random_ind][i] * (sum(X[random_ind] * w) - y[random_ind]))\n",
    "        w1 = w - eta * np.array(gradList)\n",
    "        \n",
    "        weight_dist = np.linalg.norm(w1 - w, ord = 2)\n",
    "        w = w1\n",
    "        errors.append(mserror(y, linear_prediction(X, w).reshape(1, X.shape[0])[0]))\n",
    "        iter_num = iter_num + 1\n",
    "        \n",
    "        if(eta_const != 1):\n",
    "            eta = 1.0 / (iter_num + 2)\n",
    "        \n",
    "    return w, errors"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Генерация данных и оценка результатов, полученных с помощью SGD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "n = 100\n",
    "X = np.linspace(-4, 4, n)\n",
    "\n",
    "np.random.seed(420)\n",
    "    \n",
    "y = X**2 + np.random.normal(0, 0.4, n)\n",
    "X = np.transpose(np.vstack((np.ones(n), X, X**2)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1.60000000e+01, 1.53600653e+01, 1.47331905e+01, 1.41193756e+01,\n",
       "       1.35186205e+01, 1.29309254e+01, 1.23562902e+01, 1.17947148e+01,\n",
       "       1.12461994e+01, 1.07107438e+01, 1.01883481e+01, 9.67901235e+00,\n",
       "       9.18273646e+00, 8.69952046e+00, 8.22936435e+00, 7.77226814e+00,\n",
       "       7.32823181e+00, 6.89725538e+00, 6.47933884e+00, 6.07448220e+00,\n",
       "       5.68268544e+00, 5.30394858e+00, 4.93827160e+00, 4.58565453e+00,\n",
       "       4.24609734e+00, 3.91960004e+00, 3.60616264e+00, 3.30578512e+00,\n",
       "       3.01846750e+00, 2.74420977e+00, 2.48301194e+00, 2.23487399e+00,\n",
       "       1.99979594e+00, 1.77777778e+00, 1.56881951e+00, 1.37292113e+00,\n",
       "       1.19008264e+00, 1.02030405e+00, 8.63585348e-01, 7.19926538e-01,\n",
       "       5.89327620e-01, 4.71788593e-01, 3.67309458e-01, 2.75890215e-01,\n",
       "       1.97530864e-01, 1.32231405e-01, 7.99918376e-02, 4.08121620e-02,\n",
       "       1.46923783e-02, 1.63248648e-03, 1.63248648e-03, 1.46923783e-02,\n",
       "       4.08121620e-02, 7.99918376e-02, 1.32231405e-01, 1.97530864e-01,\n",
       "       2.75890215e-01, 3.67309458e-01, 4.71788593e-01, 5.89327620e-01,\n",
       "       7.19926538e-01, 8.63585348e-01, 1.02030405e+00, 1.19008264e+00,\n",
       "       1.37292113e+00, 1.56881951e+00, 1.77777778e+00, 1.99979594e+00,\n",
       "       2.23487399e+00, 2.48301194e+00, 2.74420977e+00, 3.01846750e+00,\n",
       "       3.30578512e+00, 3.60616264e+00, 3.91960004e+00, 4.24609734e+00,\n",
       "       4.58565453e+00, 4.93827160e+00, 5.30394858e+00, 5.68268544e+00,\n",
       "       6.07448220e+00, 6.47933884e+00, 6.89725538e+00, 7.32823181e+00,\n",
       "       7.77226814e+00, 8.22936435e+00, 8.69952046e+00, 9.18273646e+00,\n",
       "       9.67901235e+00, 1.01883481e+01, 1.07107438e+01, 1.12461994e+01,\n",
       "       1.17947148e+01, 1.23562902e+01, 1.29309254e+01, 1.35186205e+01,\n",
       "       1.41193756e+01, 1.47331905e+01, 1.53600653e+01, 1.60000000e+01])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X[:,2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (14, 8))\n",
    "plt.scatter(X[:,1],y)\n",
    "plt.legend(['fact'])\n",
    "plt.xlabel('Dependence factor')\n",
    "plt.ylabel('Real values')\n",
    "plt.title('We would like to construct regression for this')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "eta = 0.0001\n",
      "Equation: 0.00329416313825888 + 0.9977508063668411 x + 0.03307540983282319 x^2\n",
      "Count Iteration = 306\n",
      "MSE = 54.689400057375536\n",
      "\n",
      "eta = 0.0005\n",
      "Equation: 0.04544133359036496 + 0.9445037896421066 x + 0.4547575779245688 x^2\n",
      "Count Iteration = 1115\n",
      "MSE = 20.233470762232987\n",
      "\n",
      "eta = 0.002\n",
      "Equation: 0.07987174106039838 + 0.16182195448962627 x + 0.986821875512299 x^2\n",
      "Count Iteration = 8311\n",
      "MSE = 0.3098897523884781\n",
      "\n",
      "eta = 1 / num Iter\n",
      "Equation: 0.10766057553385208 + 0.46961653212096655 x + 0.9742923198564757 x^2\n",
      "Count Iteration = 4239\n",
      "MSE = 1.3906821853201101\n",
      "\n",
      "Analytical solution\n",
      "Equation: -0.04068184711114173 + -0.005074973403218663 x + 0.9971737889251928 x^2\n",
      "MSE = 0.15166826783685672\n"
     ]
    }
   ],
   "source": [
    "sgdCoefList = []\n",
    "sgdErrList = []\n",
    "\n",
    "# Константный шаг алгоритма\n",
    "etaList = [0.0001, 0.0005, 0.002]\n",
    "for eta in etaList: \n",
    "    sgd_coef, sgd_err = sgd(X, y, [0, 1, 0], eta = eta)\n",
    "    sgdCoefList.append(sgd_coef)\n",
    "    sgdErrList.append(sgd_err)\n",
    "    print('eta = {s[0]}'.format(s = [eta]))\n",
    "    print('Equation: {s[0]} + {s[1]} x + {s[2]} x^2'.format(s = [sgd_coef[0], sgd_coef[1], sgd_coef[2]]))\n",
    "    print('Count Iteration = {s[0]}'.format(s = [len(sgd_err)]))\n",
    "    print('MSE = {s[0]}'.format(s = [sgd_err[-1]]))\n",
    "    print()\n",
    "\n",
    "# Монотонно убывающий шаг алгоритма\n",
    "sgd_coef, sgd_err = sgd(X, y, [0, 1, 0], eta_const = 0)\n",
    "sgdCoefList.append(sgd_coef)\n",
    "sgdErrList.append(sgd_err)\n",
    "print('eta = 1 / num Iter')\n",
    "print('Equation: {s[0]} + {s[1]} x + {s[2]} x^2'.format(s = [sgd_coef[0], sgd_coef[1], sgd_coef[2]]))\n",
    "print('Count Iteration = {s[0]}'.format(s = [len(sgd_err)]))\n",
    "print('MSE = {s[0]}'.format(s = [sgd_err[-1]]))\n",
    "print()\n",
    "\n",
    "# Аналитическое решение\n",
    "as_coef = np.dot(np.linalg.pinv(X), y)\n",
    "print('Analytical solution')\n",
    "print('Equation: {s[0]} + {s[1]} x + {s[2]} x^2'.format(s = [as_coef[0], as_coef[1], as_coef[2]]))\n",
    "print('MSE = {s[0]}'.format(s = [mserror(y, linear_prediction(X, as_coef).reshape(1, X.shape[0])[0])]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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bDIvFkud9Zxh5fyeFARhjx47N096/f3+713pR8gDGLbfcYjg5ORl///23rX3UqFG2fwPOP+YLL7xgeHp6Gv/884/dvidOnGg4OjoaR44cMQzjv+fU3d3dOHbsmG29DRs2GIAxfvx4W1t+ny9fffWVARh//PHHRZ+T/D7DOnbsaHttn//5eb6C/s3Jyckx6tevb/Tp08fuPZmSkmLUrl3buPbaa21tue/TQYMG2e1jzJgxBmBERkZe9Bz79Olj1KlTJ0+u/v3751l37Nixdp9Z5x8/18U+xy78e2Tp0qUGYPTt2zfPfvPz7LPPGoDh6elp9OvXz3jppZeMzZs351mvdevWhp+fX572pKQkIyYmxnaLj4+3PVbQ58b5WrZsaVSpUuWSOUWk7NNlXyJSZsyZM4cVK1bwxRdfMGrUKL744gu7/xkEcHd3t91PTEwkNjaWbt26kZKSwp49e+zWzczMJDY2lpiYGNatW8d3331HixYt7C53ON/x48f53//+xzPPPJOnd8Y333xDYGAgDz30UJ7tCvqf0c2bN7Nw4UKmT59ud+na+e666y727Nlju+zom2++wdfXl169etmt9/fff3P69GnGjBmDm5ubrb1///40atTIdglITEwMf/zxB/fcc49dj6mL5byU7OxsYmNjiY2NJSMjo1DbbN26laioKMaNG2frkXSxHOdf2pDbsyYjI4OVK1cC1u7svr6+XHvttbYssbGxtG3bFi8vL1avXm23v9xeU+c/VxcTHx9vt9+zZ8/aPW4YBt988w0DBw7EMAy7dXNnPdqyZYvdNjk5Odx9992sX7+epUuXFtg7LPfYR44c4dVXXyUnJ8ducM3zX/OZmZmcOXOGevXq4efnl+eYuede2PMODw+36zni4+PD3XffzdatWzl16hRg7UWU+/rNzs7mzJkzeHl50bBhw3yPX1QvvPACvr6+PPzww3keCw4O5tixYxfdfsWKFcTFxTFs2DC734ujoyMdO3a0vTaK+t44c+YMffr0wdvbmyVLltg9p9nZ2Sxfvpwbb7yROnXq2NrDwsK4/fbb+euvv0hISMg376xZszhz5gxTpky56HnlWrp0KR06dKBr1662Ni8vL0aPHs2hQ4fYtWtXofZTFJf67AoJCbENGAvWHozjxo0jPT3d9p493+OPP84XX3zB119/nafnRlGPfaGlS5fi6OiY5/Xz6KOPYhgGP//88yX3UVhpaWl2r7HY2FgyMzOvKE9ISAj9+/dnzpw5gLV3z9dff83IkSPzHH/hwoV069aNKlWq2GXo3bs32dnZ/PHHH3br33jjjVStWtW23KFDBzp27GjXM+f8z5fc8+vUqRNAkd/f3377LZs2beLll18u0na5IiIi2LdvH7fffjtnzpyxnV9ycjK9evXijz/+yDMD6IU9d3L/jS7oHHM/b3v06MHBgweJj4+/rKwXutjn2PkMw2DSpEkMHjz4or0Dzzd16lS+/PJLWrduzS+//MLkyZNp27Ytbdq0Yffu3bb1EhIS8vztAjB58mSCgoJst9tvv71I5+bl5UViYmKRthGRskmXfYlImdG5c2fb/dtvv506deowefJkRo0aZbt+fefOnTz99NP8+uuveb5cXfhH3Nq1a+0GVa1fvz6LFy8usAgyZcoUwsPDue+++/KMm3HgwAEaNmyIk1PhPzYnTpxIt27dGDBgQL5jRQAEBQXRv39/PvnkE9q1a8cnn3zC8OHD83zpyb0EoGHDhnn20ahRI/766y/AeokOcEXj9Fxoz549tufRwcGBevXqMWXKlIv+AZk7DlJhcjg4ONh9gQZo0KABgG1cl3379hEfH283vsH5Tp8+bbccGxsLgK+v7yWPD9C7d++LPh4TE0NcXBwffPABH3zwQaEyTJ482XbZREpKSoH7vvHGG233HRwcePrppxk8eLCtLTU1lenTpzNnzhyOHz9uN25Ifl9cYmNjC33e9erVy/N+OP+5Dw0NJScnh3feeYd3332XqKgou/G1AgICCnWcgkRFRfH+++8ze/bsfAtWV111FYsWLWLIkCG0adMGi8ViGzMp1759+wAKnI3Gx8cHKPp7Y8CAAezdu5fg4OA8Y7XExMSQkpKS7/uxcePG5OTkcPToUZo2bWr3WHx8PNOmTWPChAmFvszo8OHD+X5JzL1M5vDhw8X6foeLf3ZZLBYaNGiQ5zMqN8+FYzG9//77tnGQ8hufqyjHzs/hw4cJDw/H29s73zz5XT51uT7++GM+/vjjPO01a9a8ojwjR45k5MiRvPHGGyxcuJAqVark+3ret28f27ZtK3Cw8As/g+rXr59nnQYNGvD111/bls+ePcvUqVOZP39+nu2LUhjJzs7mqaee4o477rjoJZ4Xk/teHj58eIHrxMfHU6VKFdvyhedYt25dHBwc7F6Ha9asYcqUKaxbty7PZ3F8fHyhPy8LcqnPsfN98cUX7Ny5k6+//povv/yy0McYNmwYw4YNIyEhgQ0bNjB37ly+/PJLBg4cyI4dO3Bzc8Pb2zvfsZrGjBljG8voci4JS0pKyvN6FpHyScUfESmzbrnlFiZPnsyGDRvo0qULcXFx9OjRAx8fH55//nnq1q2Lm5sbW7Zs4cknn8zzP4ItWrTgjTfeAKxf1mbMmEHPnj3ZsmULoaGhduvu3r2buXPn8vnnnxfLDDbLly9n5cqVrFu37pLr3nPPPdx999089NBD/PHHH3z00Uf8+eefV5yhuNSqVcs2/saZM2eYMWMGd911F3Xq1LH9D3FJy8nJITg4mC+++CLfxy/8MpT7h39hZ4mbNWuWregB1v9BPb8Ak/vauvPOOwv8YnLhF57cP9BnzpzJ6NGjiYiIwNXVNc92r7/+Oi1btiQzM5NNmzbx4osv4uTkZOsZ8tBDD9nGBOncuTO+vr5YLBaGDh2a5zWfe+75fem7XNOmTeOZZ57hnnvu4YUXXsDf3x8HBwfGjRuX7/GLYvLkydSvX5/hw4fn+5p/9dVXuf766+nbt2+B+8jN8Nlnn+V5XwNFKtieb8+ePfz8888MGTKERx991NYz40q88sorODg48PjjjxdqQF0zXOqz6/xeFIWxfv16XnrpJTZt2sT48ePp27dvgb0vi/K5aYYbbrghT0Hq6aeftvWSu1z9+/fHxcWFxYsXM2fOnHz/AwCsr/Vrr72WJ554It/9nP8ZVlhDhgxh7dq1PP7447Rq1QovLy9ycnLo27dvkd7fH3/8MYcOHeKXX34pcoZcucd77bXXaNWqVb7r5Nez5XwXFrMPHDhAr169aNSoEW+++SbVq1fHxcWFpUuX8tZbb13xZxhc+nMsV0ZGBs888wyjRo26rN8VWIvZ1157Lddeey3Ozs58+umnbNiwgR49etCoUSMiIiI4fvy4XY+vBg0a2I5X2F6huTIzM/nnn3+KvcAsIuZQ8UdEyqzU1FTAekkBWGcWOXPmDN9++y3du3e3rRcVFZXv9lWqVLHr0dGzZ0/Cw8OZM2cOkyZNslt30qRJtGrVittuuy3ffdWtW5cNGzYUOC39+QzDYOLEidx0002FKo7069cPNzc3hg4dSteuXalbt26ePyBz/2d57969ef5HeO/evbbHc3vQXDijy5Xw9PS0ex67detG1apVWb58eYHnl3uJ044dOy7ZqyYnJ4eDBw/a/TH8zz//AP8Vb+rWrcvKlSvp0qVLob585g5IW9AXiAt16NCBdu3a2ZZzew7lCgoKwtvbm+zs7EueT66pU6cyfPhwWrVqRbt27XjxxRd54YUX8qzXtm1b20ww/fr14/jx47zyyis888wzODg4sGjRIoYPH24rZIL18oy4uLg8+4qJieHIkSMMGzasUBn379+PYRh2X5gufO4XLVrE1VdfnafHQ1xcXIFf4gtj69atzJ8/n8WLF9ve4xeqV68eO3fuZPv27bZL8ZYvX243uHvuay04OPiiv5uivjeWLFlCt27dmD59Og8++CB33nmn7XLMoKAgPDw82Lt3b57t9uzZg4ODA9WrV7drP3HiBO+88w7Tp08v8H/o81OzZs0Cj5P7eHEpzGdX7dq12bJlCzk5OXYFitw8FxZc77nnHp566ilOnDhBkyZNGD9+vN3gy0U5dn5q1qzJypUrSUxMtOudUBLPT7Vq1fK8xt5++2274s/l5HFycuKuu+7ipZdeYufOnXlmEMxVt25dkpKSCv0ZlNuT5nz//POP7Xd07tw5Vq1axdSpU3n22Wcvut3FpKSkMHXqVMaMGXNFz3fue9nHx6dI51i7dm3b8v79+8nJybGd4w8//EB6ejpLliyxu9zzwkuFL1dhPsdyvfvuu5w+fTrPDIaXq127dnz66ae2mfMGDBjA/Pnz+eKLLwosEBbVokWLSE1NpU+fPsWyPxExl8b8ERHTXTgzSK4PP/wQi8ViK3bk/mF1/iUYGRkZvPvuu4U6Tm4xKT093a593bp1fP/997z88ssFXhI2ePBgYmNj853u9MJLQubPn8+2bdvynTUsP05OTtx9991s27aNe+65J9912rVrR3BwMO+9955d/p9//pndu3fTv39/wPqltHv37nzyySd5ZjW7MOflyv2f0ov9odumTRtq165tmyb2UjnOf14Nw2DmzJk4OzvbvmwPGTKE7OzsfIsnWVlZdsfIyMhgyZIlXHPNNZf8X+LCcnR0ZPDgwXzzzTf5Fg9iYmLytHXr1g2wTpf72GOP8corrxSq8JCamkpWVhZZWVm2Y1/4nP3vf/+zu/wq18KFCwFrD4XCOHHiBN99951tOSEhgXnz5tGqVStbL5r8jr9w4UKOHz9eqGMUZOLEiXTp0oVBgwZddD1nZ2fatGlD79696d27N02aNLF7vE+fPvj4+DBt2rQ846/Af7+bor43cn9/Y8aM4aqrruK+++6zK0hfd911fP/993aXl0RHR/Pll1/StWtX2+VmuaZOnUpISEie6eIv5frrr2fjxo12vWGSk5P54IMPqFWrVp7n40oU5rPr+uuv59SpUyxYsMDWlntpoKura54v7bnPY3h4OK+88gqff/45y5cvv6xjF5QnOzs7z2fzW2+9hcViKfS01sXlcvPcc889bN++ne7du+e5DDbXkCFDWLduXb69a3Jnyzzf4sWL7d6nGzduZMOGDbYM+f2bCuQ79fzFvPPOOyQnJzN58uQibXehtm3bUrduXV5//fU8l3dC/p+z58/AB9bPRuCi5xgfH18sPfmg8J9jiYmJvPTSS4wfPz7fHooFSUlJKbAnXO74UbmXnw4ZMoQmTZrwwgsv2C61vFBR/g6IjIxk3LhxVKlSpVhnRRMR86jnj4iY7vbbb6dRo0bcdNNNhISEEBMTw88//8zq1auZPHkyzZs3B6zjf1SpUoXhw4fz8MMPY7FY+Oyzzwr8YyY6OprPP/8csPbkeP/993FycrJd+55r+fLlXHvttRf9n8a7776befPmMWHCBDZu3Ei3bt1ITk5m5cqVjBkzxu7L9vLly7n33nvzHQ+kIC+88AKPP/643VgG53N2duaVV15h5MiR9OjRg2HDhtmmeq9Vq5bdVPEzZsyga9eutGnThtGjR1O7dm0OHTrETz/9RERERKEz5UpKSmLZsmWAdXyIGTNm4OzsbCs45cfBwYHZs2czcOBAWrVqxciRIwkLC2PPnj3s3LnT7suLm5sby5YtY/jw4XTs2JGff/6Zn376iaeeesp2OVePHj247777mD59OhEREVx33XU4Ozuzb98+Fi5cyDvvvMMtt9zCtm3bmDp1KseOHaN///623z/8N3jp4sWLGTZsWJGndn755ZdZvXo1HTt25N5776VJkyacPXuWLVu2sHLlyjyDRJ9vypQpfPPNN9x7772sWbPGrsfEihUrOHbsmO2yry+++IJBgwbh4uICWP8397PPPsPX15cmTZqwbt06Vq5cmWe8nVmzZvH0008TFBTEgQMHbOMugbVAdvDgQVasWGGbwh2slwOMGjWKTZs2ERISwieffEJ0dLTdF6MBAwbw/PPPM3LkSK666iq2b9/OF198UeAX1MJavnw5a9asuaJ9gLWXwOzZs7nrrrto06YNQ4cOJSgoiCNHjvDTTz/RpUsX2xfxy3lvWCwWPvroI1q1asWUKVN49dVXAXjxxRdZsWIFXbt2ZcyYMTg5OfH++++Tnp5uW+fC8/3iiy9sv9fCmjhxIl999RX9+vXj4Ycfxt/fn08//ZSoqCi++eabPJcHRURE2BU9s7OzOX78uO09DNh6CuSX8VKfXaNGjWL27NmMGDGCv//+m9q1a7N48WJWrVrFyy+/fNFxoEaPHs2XX37J/fffz44dO/Dw8CjSsfMzcOBArr76aiZPnsyhQ4do2bIly5cv5/vvv2fcuHEFDrReUi43T+PGjYmNjb1oz8bHH3+cJUuWMGDAAEaMGEHbtm1JTk5m+/btLFq0iEOHDtn1xqtXrx5du3blgQceID09nbfffpuAgABbrxAfHx+6d+/Oq6++SmZmpq1HZ0G9aQuSOw34lY4B5uDgwEcffUS/fv1o2rQpI0eOpGrVqhw/fpzVq1fj4+Njm848V1RUFIMGDaJv376sW7eOzz//nNtvv52WLVsCcN111+Hi4sLAgQO57777SEpK4sMPPyQ4ODjf90FMTIzdewWwFYuXLVtGhw4d7KZbL+zn2JYtWwgMDCxyj5yUlBSuuuoqOnXqRN++falevTpxcXEsXryYP//8kxtvvJHWrVsD1r8TvvvuO/r06UPXrl25+eab6datG56enhw/fpwlS5Zw5MiRfP/t/vPPP0lLS7MN6r9mzRqWLFmCr68v3333XZEKViJShpXizGIiIvmaPXu2cf311xvh4eGGk5OT4efnZ/Tp08dYunRpnnXXrFljdOrUyXB3dzfCw8ONJ554wvjll1/ynVqV86aN9/PzM7p06ZJnn4BhsVjyTJua31TxKSkpxuTJk43atWsbzs7ORmhoqHHLLbfYpno+f3rd48eP22174dS2BU0xfqnHFyxYYLRu3dpwdXU1/P39jTvuuMNuKt9cO3bsMG666SbDz8/PcHNzMxo2bGg888wz+R7rUlO95/c8/vzzz/muf6G//vrLuPbaaw1vb2/D09PTaNGihfG///3P9vjw4cMNT09P48CBA8Z1111neHh4GCEhIcaUKVPyTC9uGIbxwQcfGG3btjXc3d0Nb29vo3nz5sYTTzxhnDhxwjCM/6bfvdQt97VSlKneDcMwoqOjjbFjxxrVq1e3vQZ69eplfPDBB7Z18pv+2DAM47fffjMsFovxzjvv2K2Xe3NycjJq1qxpPPzww8a5c+ds2507d84YOXKkERgYaHh5eRl9+vQx9uzZk+f3VpjzPv81nTut8S+//GK0aNHCcHV1NRo1apRnyt+0tDTj0UcfNcLCwgx3d3ejS5cuxrp16/J9j5z/e73UVO833HCDXXtBz9uFCpqme/Xq1UafPn0MX19fw83Nzahbt64xYsQIuym0DePS740Lp3DONXXqVMPJycnYsmWLrW3Lli1Gnz59DC8vL8PDw8O4+uqrjbVr1+abt1WrVnbTV+c3xXlBDhw4YNxyyy22zB06dDB+/PHHPOdfmNdA7i2/qd4L89llGNZpre+55x4jMDDQcHFxMZo1a2Z8+OGHdusUdH579+413NzcbNONF/XY+UlMTDTGjx9vhIeHG87Ozkb9+vWN1157ze75Pl9JTvVelDwF7fNijycmJhqTJk0y6tWrZ7i4uBiBgYHGVVddZbz++utGRkaGYRj/Paevvfaa8cYbbxjVq1c3XF1djW7dutlNgW4YhnHs2DHb+8HX19e49dZbjRMnTlx0qvZcua+5sLAwIzk5OU/2ok71nmvr1q3GzTffbAQEBBiurq5GzZo1jSFDhhirVq2yrZP7Pt21a5dxyy23GN7e3kaVKlWMBx980EhNTbXb35IlS4wWLVoYbm5uRq1atYxXXnnF+OSTT/K8BmrWrFnofzuK8jmW++/oW2+9ZbduQZ8158vMzDQ+/PBD48YbbzRq1qxpuLq6Gh4eHkbr1q2N1157zUhPT8+zTVxcnPH8888brVu3Nry8vAwXFxejevXqxi233GL88MMP+ebNvTk7OxtBQUFG9+7djZdeesk4ffr0RfOJSPliMYxiug5ARESkiEaMGMGiRYvy7eJ/OZ577jl+++03fvvttwLXqVWrFnPnzrWNs1NRWCwWVq9eXeB5zZ07l7lz59qem1q1atGsWTN+/PHH0gspIiXu0KFD1K5dm9dee43HHnvM7Dgl4rnnnmPq1KnExMRc0dhjRXGpz1gRkbJOY/6IiIiIiIiIiFRgGvNHREQqjBYtWlxyNrbcsaUqmjvuuOOi51W3bl278X5ERKTw+vTpYzfej4hIeaPij4iIVBg333zzJdd56623SiFJ6Tt/cOv8dOvWzTbzkoiIFM2FA0GLiJQ3GvNHRERERERERKQC05g/IiIiIiIiIiIVmIo/IiIiIiIiIiIVWIUf8ycnJ4cTJ07g7e2NxWIxO46IiIiIiIiISLEwDIPExETCw8NxcCi4f0+FL/6cOHGC6tWrmx1DRERERERERKREHD16lGrVqhX4eIUv/nh7ewPWJ8LHx8fkNCIiIiIiIiIixSMhIYHq1avbah8FqfDFn9xLvXx8fFT8EREREREREZEK51LD3GjAZxERERERERGRCkzFHxERERERERGRCkzFHxERERERERGRCsz0MX+OHz/Ok08+yc8//0xKSgr16tVjzpw5tGvXDrBOWzZlyhQ+/PBD4uLi6NKlC7Nnz6Z+/fomJxcRERERERG5OMMwyMrKIjs72+woUg45Ojri5OR0yTF9LsXU4s+5c+fo0qULV199NT///DNBQUHs27ePKlWq2NZ59dVXmTFjBp9++im1a9fmmWeeoU+fPuzatQs3NzcT04uIiIiIiIgULCMjg5MnT5KSkmJ2FCnHPDw8CAsLw8XF5bL3YTEMwyjGTEUyceJE1qxZw59//pnv44ZhEB4ezqOPPspjjz0GQHx8PCEhIcydO5ehQ4de8hgJCQn4+voSHx+v2b5ERERERESkVOTk5LBv3z4cHR0JCgrCxcXlintvSOViGAYZGRnExMSQnZ1N/fr1cXCwH72nsDUPU3v+LFmyhD59+nDrrbfy+++/U7VqVcaMGcO9994LQFRUFKdOnaJ37962bXx9fenYsSPr1q3Lt/iTnp5Oenq6bTkhIaHkT0RERERERETkPBkZGeTk5FC9enU8PDzMjiPllLu7O87Ozhw+fJiMjIzLvgLK1AGfDx48aBu/55dffuGBBx7g4Ycf5tNPPwXg1KlTAISEhNhtFxISYnvsQtOnT8fX19d2q169esmehIiIiIiIiEgBLuypIVJUxfEaMvVVmJOTQ5s2bZg2bRqtW7dm9OjR3Hvvvbz33nuXvc9JkyYRHx9vux09erQYE4uIiIiIiIiIlC+mFn/CwsJo0qSJXVvjxo05cuQIAKGhoQBER0fbrRMdHW177EKurq74+PjY3UREREREREREKitTiz9dunRh7969dm3//PMPNWvWBKB27dqEhoayatUq2+MJCQls2LCBzp07l2pWEREREREREZHyyNQBn8ePH89VV13FtGnTGDJkCBs3buSDDz7ggw8+AMBisTBu3DhefPFF6tevb5vqPTw8nBtvvNHM6CIiIiIiIiIi5YKpPX/at2/Pd999x1dffUWzZs144YUXePvtt7njjjts6zzxxBM89NBDjB49mvbt25OUlMSyZcsue4RrERERERERETHfrFmzqFWrFm5ubnTs2JGNGzcWy3aF2e+l1vnjjz8YOHAg4eHhWCwWFi9efNnnWRaYPuz4gAED2L59O2lpaezevds2zXsui8XC888/z6lTp0hLS2PlypU0aNDApLQiIiIiIiIicqUWLFjAhAkTmDJlClu2bKFly5b06dOH06dPX9F2hdlvYdZJTk6mZcuWzJo1q2SegFJmMQzDMDtESUpISMDX15f4+HgN/iwiIiIiIiKlIi0tjaioKGrXrm27csUwDFIzs0s9i7uzIxaLpUjbNGvWjKFDh3Ls2DEWLFiAq6srEydOZNy4ccWSqWPHjrRv356ZM2cC1tnAq1evzkMPPcTEiRMve7vC7Leox7ZYLHz33XemDT+T32spV2FrHqaO+SMiIiIiIiJSWaRmZtPk2V9K/bi7nu+Dh0vhv/6np6ezd+9e5s2bx9SpU3nssceYPXs2Tz75JPfeey+enp62dadNm8a0adMufvxdu6hRo4ZtOSMjg82bNzNp0iRbm4ODA71792bdunUF7udS2xVmv5d77PJOxR8RERERERERsdmxYwdZWVnMmDGDvn37AjBixAjefPNNUlJS7Io/999/P0OGDLno/sLDw+2WY2Njyc7OJiQkxK49JCSEPXv2FLifS21XmP1e7rHLOxV/REREREREREqBu7Mju57vY8pxiyIyMpLQ0FD69Pkva0xMDC4uLvj7+9ut6+/vn6dNyh4Vf0RERERERERKgcViKdLlV2aJiIigXbt2duMERURE0KxZMxwd7QtJl3PZV2BgII6OjkRHR9utFx0dTWhoaIH7udR2hdnv5R67vDN9ti8RERERERERKTsiIyNp1aqVXVtERESeNrBe9hUREXHR24WXfbm4uNC2bVtWrVpla8vJyWHVqlV07ty5wFyX2q4w+73cY5d3Zb/kKCIiIiIiIiKlJjIykocfftiubevWrYwePTrPupd72deECRMYPnw47dq1o0OHDrz99tskJyczcuRI2zozZ87ku+++syvUXGq7wuy3MOskJSWxf/9+23JUVBQRERH4+/vb9WIqL1T8EREREREREREADh06RHx8vF0vn/T0dPbs2UPr1q2L7Ti33XYbMTExPPvss5w6dYpWrVqxbNkyu4GYY2NjOXDgQJG2K8x+C7PO33//zdVXX21bnjBhAgDDhw9n7ty5xfY8lBaLYRiG2SFKUmHnvBcREREREREpLmlpaURFRVG7dm3c3NzMjnNFNm/eTPv27YmPj8fb29vsOJXOxV5Lha15qOdPOfDnvhhSMrJpVtWXqn7uZscRERERERGRSmTr1q3UqVNHhZ9yTMWfcsB1wVBCMk7yRs5N+HS4ncFtqtG8mq/ZsURERERERKQSKGiwZyk/VPwpD1yO422c5pWs2Vyzri6frjtE03AfGgR706qGH13qBeLm7EiglwuuTo6X3p+IiIiIiIhIIc2cOdPsCHKFVPwpB95v0ppNsTsYd+4c/+d8lCnHQthxPIEdxxP4dutx23qBXi6M6VmPalXc6dEwSIUgEREREREREVHxp6zLyM7gVEYChgW+8/Lih5BYrrn9anaeSGDniXiWRJ7gbFIGielZxCZl8PyPuwAI9nalR4Mgavh7MKxjDQK9XE0+ExERERERERExg2b7KgdiU2O5+uurcTAM1h8+hvuN70HLoXbrpGRk8cEfB9l6JI7f/4mxe6yqnzv3dK1NmK8bXesH4uPmXJrxRUREREREKp2KNNuXmEuzfVUSAW4B+LtW4Wz6OQ46O9F01QvQ4jawWGzreLg4Ma53AwBOxqeyZv8Zjp1L4YsNRzgel8oL//YIcnd2pF2tKlT1c+f+HnWpFehpyjmJiIiIiIiISOlQ8accsFgshHiGcjb9HOccHSHhGBz7G6q3z3f9MF93bmlbDYD/61aHuWui2HE8gX2nEzkQk8yf+2IBmL/pKPWDvfB2c8LVyRFXZwdcnRxwc3bE1ckBJ0cHrm4YzLVNQkrtXEVERERERESkeKn4U054Olt76CTVvAr2/Aq/PAW3fAJ+1S+6nZerEw9eUx8AwzDYejSOXScSmLfuEP9EJ7HvdNJFt/9ywxE61vZnysCmNAkvn5fNiYiIiIiIiFRmKv6UE7nFn5QaHazFn2Mb4ZO+8PBWcHIp1D4sFgttalShTY0q3NGxBqcS0tgXnURqZjbpWTmkZ2aT9u/P9Kwcjp1L5auNR9gQdZbrZ/xJnSBPmob70rKaL9c1CaVGgEdJnrKIiIiIiIiIFAMVf8oJW88f36ow8B344RHr5V8f9IR7V4Gze5H2Z7FYCPN1J8z34tuN7FKLJ7/ZxtYjcRyMSeZgTDI/RJ7gxZ92U8PfA39PF3o1CuaqeoG4Ojng6epErQAPLOeNRyQiIiIiIiIi5lHxp5zILf4kZyVD2wcg8RT8Nh1O74TI+dBuZIkct0GIN4vuv4rIY3HEp2YSeTSOtfvPsPHQWY6cTeHI2RQijsbxxop/bNtU9XOnW/1AbmlbjbY1q6gQJCIiIiIiImIiFX/KCVvxJyPZ2tBzIqTFw/p34cdxsOYdCG0Ot8wBx+L9tTo6WC8XA7i6YTDjesO55Az2nErkl52nWHfgDGlZ2aRlZhOdkM7xuFTmbzrK/E1H6dEgiBFdalHD34O6QV7FmktERERERERELs3B7ABSOHY9f3K1HQm+Naz3z0XB7iVw/O9SyVPF04XOdQN4blBTfhnfnd8fv5oNT/Vm3aRrmDKwCR1q+QPw+z8xjJyziV5v/M7zP+wiPiWzVPKJiIiIiIhI2TZr1ixq1aqFm5sbHTt2ZOPGjcWyXWH2e6l1nnvuOSwWi92tUaNGl3+yJlPxp5zI0/MHIKgBjNsG96+BWt2sbcdKp/hTkDBfd0Z2qc3X93fmy3s70qG2P3WDrNk/WRNF+5dWMuaLzew8EW9qThERERERETHPggULmDBhAlOmTGHLli20bNmSPn36cPr06SvarjD7LeyxmzZtysmTJ223v/76q/ifiFJiMQzDMDtESUpISMDX15f4+Hh8fMrvVOXf7fuOZ9c+S/dq3ZnVa1beFf58E1ZNhdAWMPgjCGwAZWisne+2HuP93w+y51QiAA4W6NkwGC9XJ5wdHXBxcsDF0YKzowPNq/nSuW4Abs6OeLk44eBQds5DRERERESkMNLS0oiKiqJ27dq4ublZGw0DMlNKP4yzR5G/HzZr1oyhQ4dy7NgxFixYgKurKxMnTmTcuHHFEqljx460b9+emTNnApCTk0P16tV56KGHmDhx4mVvV5j9Fmad5557jsWLFxMREVEs53sl8n0t/auwNQ+N+VNO+Lr6AhCbGpv/Ci2GWAeAPrUNZnWAXlOg24RSTHhxN7Wuxk2tq7HzRDzv/naAn7ad5Nc9F6/oAvi6O3N981BCfNxwtFgI8HLlptZVcXdxLIXUIiIiIiIixSgzBaaFl/5xnzoBLp6FXj09PZ29e/cyb948pk6dymOPPcbs2bN58sknuffee/H0/G9f06ZNY9q0aRfd365du6hRo4ZtOSMjg82bNzNp0iRbm4ODA71792bdunUF7udS2xVmv0U59r59+wgPD8fNzY3OnTszffp0u/MoT1T8KSdqeFtfYEcSjmAYRt4ZtHyrwc0fwsLh1uWDv5Wp4k+upuG+zLq9Dfd0OcuuEwlkZBtkZueQkWW9HT2Xwm97Y0hIy8QwID41k682HrXbx6drD/FE34Z0qReIs6MDjuoZJCIiIiIiUmx27NhBVlYWM2bMoG/fvgCMGDGCN998k5SUFLviz/3338+QIUMuur/wcPuCV2xsLNnZ2YSEhNi1h4SEsGfPngL3c6ntCrPfwh67Y8eOzJ07l4YNG3Ly5EmmTp1Kt27d2LFjB97e3hc937JIxZ9yorpPdSxYSMpM4mTyScK98qkWN70R/H6FD6+Bw2sgMw2c3fKuVwa0relP25r+BT5uGAapmdl8vekoB2KSyTYMsrMNVu05zd7oREZ9ah3byNPFkft61KVfs1ACvFzx93QprVMQEREREREpGmcPay8cM45bBJGRkYSGhtKnTx9bW0xMDC4uLvj723+P8/f3z9NWEfTr1892v0WLFnTs2JGaNWvy9ddfM2rUKBOTXR4Vf8oJV0dXwr3COZ50nFc3vcrbV7+d/4pBjQAL5GTBa/Xgmqeh431lavyfwrBYLHi4ODGiS2279tikdD744yBfbjhCUnoWyRnZvLniH95c8Q8AV9UN4MZWVRnctpp6BImIiIiISNlisRTp8iuzRERE0K5dO7srTiIiImjWrBmOjvZDcFzOZV+BgYE4OjoSHR1tt150dDShoaEF7udS2xVmv5d7bD8/Pxo0aMD+/fsveq5llWb7Kkeurn41AKeSTxW8kosn9HgSLI6QkQjLnoTI+aWUsOQFerny1PWN2frstWx77jqmDGxCdX93PP4dA2jtgTM88c02er6+mo//iuLYORMGUxMRERERESnHIiMjadWqlV1bREREnjawXvYVERFx0duFl325uLjQtm1bVq1aZWvLyclh1apVdO7cucBcl9quMPu93GMnJSVx4MABwsLCClynLFPPn3KkX+1+fL77c86knbn4ildPgq7j4fsxsOMb2PMjtBpWOiFLibOjA86ODozsUpuRXWpjGAYRR+NYsOkoizYf4+jZVF74cRcv/LiLbvUDCfFxo26QF4FeLoT7udOhtj/Ojqp9ioiIiIiIXCgyMpKHH37Yrm3r1q2MHj06z7qXe9nXhAkTGD58OO3ataNDhw68/fbbJCcnM3LkSNs6M2fO5LvvvrMr1Fxqu8LstzDrPPbYYwwcOJCaNWty4sQJpkyZgqOjI8OGlc/v1ir+lCMB7gEAnE09m/+gz+dzdoN2o6zFnxMRpRPQRBaLhdY1qtC6RhUeva4hy3ac5KO/ojh8JoU/9+WdIc3f04XagZ4MbBFGp7oBVKvigZer3g4iIiIiIlK5HTp0iPj4eLtePunp6ezZs4fWrVsX23Fuu+02YmJiePbZZzl16hStWrVi2bJldgMxx8bGcuDAgSJtV5j9FmadY8eOMWzYMM6cOUNQUBBdu3Zl/fr1BAUFFdtzUJoshmEYZocoSYWd8748SMlMoeOXHQFYN2wdXi5eF98gPRFergFGDjy0BQLqlkLKsiMnx+D3fTEcjk0mPjWLQ2eSOZOcwZbD50hKz7Jb18XRge4NgrijYw38PJxpXtUXJ/UMEhERERGRy5SWlkZUVBS1a9fGza1sTsRTWJs3b6Z9+/bEx8eXy5muyruLvZYKW/NQV4dyxMPZA3cnd1KzUjmbdvbSxR9Xb6hzNRxYZR3355rJpRO0jHBwsHB1w2BoaN+ekJbJjuPx7Dgez8K/j3EqIY3EtCxW7o5m5e7/Bv1ydXKgcZgP7WtVYezV9fDz0ExiIiIiIiJS+WzdupU6deqo8FOOqfhTzvi7+XM86Thn085Sw6fGpTdodbu1+LPmbfAMtC67Vu43rI+bM1fVDeSquoGM7l4XwzD4cdtJPlt/mLiUDE7GpZGYnkV6Vg4RR+OIOBrHJ2sOUdPfgwAvF65rEsrILrXUM0hERERERCqFggZ7lvJDxZ9yJsA9gONJxy896HOuRv3BrwbEHYGfn4DoHTDofyUbspyxWCwMbBnOwJbWEeizsnOIS80kJjGdX/ec5ssNRzgel8rB2GQOxiaz6dA5Xlq6G1cnB1pW86NtrSo0CvWmc50Agn3Kd3dOERERERGRC82cOdPsCHKFVPwpZ/zdrKOon0ktZPHH2R3+71dY8QxEfgVbP4cWt0GtriWYsnxzcnQg0MuVQC9XGof58ECPuhyISeJMcga/7jnNF+sPk5yRTXpWDhsPnWXjobO2besFe9Gymh8NQ73oUDsAL1dH3JwdCfN1x9HhIgN0i4iIiIiIiJQQFX/KmQC3f2f8Sjt7iTXP4xUEN70HhgHb5sPc/nDbF9B4QAmlrFgcHCzUD/GmPtCpTgAT+zbiTHIG0QlprD94hn3RSew5lUDksXj2n05i/+mkPPtwc3bA190ZHzdnbmxdlf7NwwjydsVTM4yJiIiIiIhICdM3z3Imt+dPkYo/uXo8YS3+ACy4A26dC01vKr5wlYSDg4Ugb1eCvF1pVtXX1n46MY1NUefYdiyO9VFniY5PIzUzm5SMLNIyc0jLTCc6IZ3XftnLa7/sxdXJgQevrsfYq+vhoF5BIiIiIiIiUkJU/ClninzZ1/kC6sKQebB6GsTsgX+Wq/hTjIK93ejfIoz+LcLs2jOzczgRl0piWhZfbDjCr3uiiU/NJC0zhzdW/MPCzce4o2MNfNydaVezCvWCvbBYVAwSERERERGR4qHiTzlTzbsaACsOryAzJxNnB+ei7aDJDeDgBPNvh1PbSyChXMjZ0YGaAZ4ATL+5OdAcwzB4Z9U+3l65jyNnU5j+8x7b+mG+bjQM9aZdzSr0bBhs17tIREREREREpKhU/ClnOoR2wMXBhYycDJ5f9zwvdHmh6DsJa2X9Gb0DdnwLjQeCYxGLSHJFLBYL43o3oH/zMJZEnuDwmRQOn00h8mgcJ+PTOBmfxm97Y3h9+T+0qeHHw73q0yDEGydHC04ODv/+tODi6KAp50VEREREROSiVPwpZzycPWgf1p41x9dwIO7A5e3Etyq0/z/Y9BEsGmltC2wIPmEQ0gzq9LReIubqAx4BoEuQSkz9EG8eva6hbflscgY7T8Sz7Vg8y3eeIvJYPFuOxDFizqZ8t7dYoIa/B3WDvKji4ULVKu7UCfSkur87DUN98NKA0iIiIiIiIpWevhmWQ2NbjmXN8TVEp0Rf/k76TIf0JNixCHKyIHav9XbwN1g387/1mt5kHRhaSoW/pwvd6gfRrX4QY6+ux/7TSXyx4TDfbjlOakY2mTk5GMZ/6xsG1l5DZ1Ly7Mvd2ZFejYOpE+SFi6MFZ0cHArxcqVbFneZVfTXTmIiIiIiISCWhb3/lULBHMGAd9Dk7JxtHB8ei78TJBW5+H258FxJPwrG/ISMJ/lkG0TshMRoyk2HX95B6DtyrFPNZSGHUC/ZiysCmTBnY1NaWk2OQmZNDdo5BUnoW+08ncSg2hbjUDA6cTiYq1jrdfEJaFj9uO5nvft2cHagb5IWLkwNNwnx46abmpXVKIiIiIiIiUspU/CmHAtwDcLA4kG1ks+X0FtqHtr/8nTk4gm816w2g9Z3/PTazw7+9gX6HpjdeUWYpPg4OFlz/Lfh5uDgR7O3GVXXt18nKzuHP/bGs2RdLelYOmdk5ZGTlcDoxnYMxSZyIT2PniQQAnB00ZpCIiIiIiEhFpm995ZCTgxNhntbpxF/d9GrJHajuNdafu38ouWNIiXBydODqhsE8PaAJL9zYjJcHt+DN21rx+f91ZM3Ea/hlXHfmjGzPh3e34/G+DS+9QxERERERkWI2a9YsatWqhZubGx07dmTjxo3Fst2lHp8+fTrt27fH29ub4OBgbrzxRvbu3Vts51UWqfhTTj3W7jEA9pzdw6nkUyVzkPq9rT93LIKjhXsTStlnsVhoGOrN1Q2DubZJCO1r+ZsdSUREREREKpkFCxYwYcIEpkyZwpYtW2jZsiV9+vTh9OnTV7RdYfb7+++/M3bsWNavX8+KFSvIzMzkuuuuIzk5uUTP2UwWwzh/+NiKJyEhAV9fX+Lj4/Hx8TE7TrHq/21/jiQeYW7fubQNaVv8BzAMmDcIov6AtiNh4NvFfwwREREREZEKKC0tjaioKGrXro2bmxsAhmGQmpVa6lncndyxFHEW52bNmjF06FCOHTvGggULcHV1ZeLEiYwbN65YMnXs2JH27dszc6Z1wqGcnByqV6/OQw89xMSJEy97u8vZb0xMDMHBwfz+++907969WM6vOOX3WspV2JqHxvwpx/zc/DiSeIS4tLiSOYDFAlc9bC3+HFxdMscQERERERGpJFKzUun4ZcdSP+6G2zfg4exR6PXT09PZu3cv8+bNY+rUqTz22GPMnj2bJ598knvvvRdPT0/butOmTWPatGkX3d+uXbuoUaOGbTkjI4PNmzczadIkW5uDgwO9e/dm3bp1Be7nUttd7n7j4+MB8PevuFdFqPhTjlVxtc7AdS79XMkdpOq/PYrOHYK0BHCrWL2nRERERERExN6OHTvIyspixowZ9O3bF4ARI0bw5ptvkpKSYlf8uf/++xkyZMhF9xceHm63HBsbS3Z2NiEhIXbtISEh7Nmzp8D9XGq7y9lvTk4O48aNo0uXLjRr1uyi51GeqfhTjlVxsxZ/4tLjSu4gHv7gHQ6JJ+DDa6DjfdDh3pI7noiIiIiISAXl7uTOhts3mHLcooiMjCQ0NJQ+ffrY2mJiYnBxccnTO8bf379c95gZO3YsO3bs4K+//jI7SolS8accs/X8SSvBnj8AtbvDtvlwZh8sfdza1v7/rJeFiYiIiIiISKFYLJYiXX5lloiICNq1a2c3TlBERATNmjXD0dHRbt3LuewrMDAQR0dHoqOj7daLjo4mNDS0wP1carui7vfBBx/kxx9/5I8//qBatWoXPYfyTrN9lWN+bn4AzNs1r2QHDRv0Pxi1AkKaAQYsfQw2flhyxxMRERERERHTREZG0qpVK7u2iIiIPG1gvewrIiLiorcLL/tycXGhbdu2rFq1ytaWk5PDqlWr6Ny5c4G5LrVdYfdrGAYPPvgg3333Hb/++iu1a9cu7FNTbqnnTznWJKCJ7f7Dvz5Ml/AujGg2ovgP5OQC1TvAvb/C6pdgzTvw15vQfhQ4OF56exERERERESk3IiMjefjhh+3atm7dyujRo/Ose7mXfU2YMIHhw4fTrl07OnTowNtvv01ycjIjR460rTNz5ky+++47u2LOpbYrzH7Hjh3Ll19+yffff4+3tzenTp0CwNfXF3f3ol0iV16o+FOOdQrrxO2NbufLPV+y/uR61p9cT++avanmXULd1Zxc4eqnYfOnkHgSIudD6ztK5lgiIiIiIiJS6g4dOkR8fLxdL5/09HT27NlD69ati+04t912GzExMTz77LOcOnWKVq1asWzZMrvBmmNjYzlw4ECRtivMfmfPng1Az5497fY9Z84cRowYUWznWJZYDMMwzA5Rkgo75315lZmdyeIDi3l789skZCTwVf+vaBZYwiOU//E6/PqC9b6jK1z9FHQdV7LHFBERERERKUfS0tKIioqidu3auLm5mR3nimzevJn27dsTHx+Pt7e32XEqnYu9lgpb89CYP+Wcs6Mztza4lWCPYAASMxJL/qBdx0OTG633s9Nhy6clf0wRERERERExxdatW6lTp44KP+WYij8VhJezFwDJmcklfzAHRxjyKTy0xbp89iDsWgLJZyAnp+SPLyIiIiIiIqWmoMGepfzQmD8VhKeLJwBJmUmld9CAuuBXE+IOw9d3WdscnKHPNOiYdyAwERERERERKX9mzpxpdgS5Qur5U0F4O1u73yVllGLxB2Dg21C/D3gGWZdzMmHN25CTXbo5RERERERERCRf6vlTQXg6m9DzB6DuNdYbQFIMvF4PEo7Da3Xh4Qhw9yvdPCIiIiIiIiJiRz1/KghvF2vPn1IZ86cgXkHQ/Fbr/dRzEPWHeVlEREREREREBFDxp8LI7flTKrN9Xczgj6DVndb7X98FZ6PMzSMiIiIiIiJSyan4U0FUca0CwJnUMyYnAZrc8N/9lc+ZFkNEREREREREVPypMKp5VwPgWNIxk5MADa6Dge9Y75/Yam4WERERERERkUpOxZ8KIrf4czzpOIZhmJwGaDzI+jPuMKTGmRpFREREREREpDJT8aeCCPcMx4KF1KxUolOizY4DHv5Qpbb1/pZ5EHfU3DwiIiIiIiIilZSKPxWEs6MzLYNaAjDwu4GsO7HO5ERA/eusP1c8A7M6QHwZuCRNREREREREpJJR8acCGdt6LABp2Wn8ePBHk9MAHe6Fqu2s9zNT4O855uYRERERERERqYRU/KlAOoV1YkyrMQCkZqWanAYIrA/3roIb3rUuH15rbh4REREREREpE/744w8GDhxIeHg4FouFxYsXF7juyJEjefrpp0sv3EX06NGDe+65x7Y8fvx4br75ZhMTFY6KPxVMNS/rwM8pmSkmJzlP1bbWnycjISfb3CwiIiIiIiJiuuTkZFq2bMmsWbMuul52djY//vgjgwYNKqVkBTMMg61bt9KmTRtb28aNG2nXrt0V7zsrK+uK93ExKv5UMB5OHgCkZJWh4k9gfXDzg8xk2PSx2WlERERERERMYRgGOSkppX67nBmhmzVrxosvvsj9999PlSpVCA0N5e233y6256Jfv368+OKL3HTTTRddb+3atTg7O9O+fXsADhw4gMVi4ccff6RXr154eHjQsGFDNmzYYNtm2bJleHp6kpOTY2vbsWMHFouF2NhYDh06hMVi4ZtvvqF79+64u7vTvn17jhw5wp9//kmnTp3w8PCgV69exMXF2faxb98+EhMTadu2LRkZGTg7O7N27VomT56MxWKhU6dOABw5coTbb7+dKlWq4O/vzx133MG5c+ds+8k9/tdff023bt1wdXVlyZIlxfG0FsipRPcupc7d2R2A5Mxkk5Ocx8ERrnkalj4GyydDlVrQ4DqzU4mIiIiIiJQqIzWVvW3alvpxG27ZjMXDo9Drp6ens3fvXubNm8fUqVN57LHHmD17Nk8++ST33nsvnp6etnWnTZvGtGnTLrq/Xbt2UaNGjcvKvmTJEgYOHIjFYgEgMjISi8XCm2++ybPPPkvVqlUZM2YMEydOZPXq1QBs3bqVZs2a4eDwX3+XiIgIwsPDCQwMZM2aNQDMnj2badOm4enpyQ033MCdd96Jt7c3M2fOJDs7m/79+zNnzhzGjx8PwObNm3F0dKRly5Y4OTmxZs0aOnbsSEREBCEhIbi5ubF//346d+7MAw88wPr160lKSmLMmDE8/vjjfPTRR7ZzAHjttdeYNm0atWvXJigo6LKen8JS8aeCsfX8KUuXfQG0GwUHf4M9P8J3o2HcDnD1MjuViIiIiIiIXGDHjh1kZWUxY8YM+vbtC8CIESN48803SUlJsSv+3H///QwZMuSi+wsPD7/sLN9//z1vvfWWbTkyMhI/Pz8WLFhgK5gMGjSI999/37ZOREQELVu2tNtPZGSkrS0iIgJ/f38WLFhAQEAAYB3L56+//mLnzp14/Fsoa9++PadOnbLtY8uWLTRs2ND2+IkTJwgICLA71pAhQxgzZgxTp061tT3xxBM8/vjjdvk8PT1ZuHAhtWrVuuznpihU/KlgPJzL4GVfAA4OcMscmNkW4o7Avl+g2WCzU4mIiIiIiJQai7s7DbdsNuW4RREZGUloaCh9+vSxtcXExODi4oK/v7/duv7+/nnaisvu3bs5ceIEvXr1sst2ww032PWUiYqKol69erblrVu38vDDD9vtKyIiwjY2T2RkJDfddJOt8APWS7Vuu+02W2Ent+2GG26wLW/ZsoW2bf/rubV161a7ws/hw4dZsWIFf/31F2+88YatPTs7m+rVq9udw6BBg0qt8AMa86fCye35UyZm+7qQk8t/BZ9d35ubRUREREREpJRZLBYcPDxK/ZZ7yVRh5RZKzt8uIiKCZs2a4ejoaLfutGnT8PLyuujtyJEjl/V8LVmyhGuvvRY3NzdbW2RkJJ07d86Tt1WrVoB1IOkDBw7YFWVycnLsCjURERF07NjRbh+RkZG2MXsA0tLS2Lt3r91+tmzZYjfY84U9jCIjI/H392fbtm1ERETYbtu3b7ddkpa7Xc+ePS/jGbl86vlTweT2/EnNSiU7JxtHB8dLbFHKmtwAf70F/yyHjGRw8bz0NiIiIiIiIlJqIiMj6d69u13b+QWW85XkZV/ff/89o0ePti3Hx8dz6NAhWrdunSdbbk+fqKgocnJyaNSoke3xX375hTNnztCyZUsSEhLy7CMqKor4+Hi7tu3bt2MYBs2bNwfg4MGDxMXF2fX82b59O4MH/3dFi7OzM4mJiYSHh9v1IDpffscvDer5U8Hk9vwBSMtOMzFJAcJagV9NyEqFfSvMTiMiIiIiIiIXiIyMzFPo2bp1a77FH39/f+rVq3fRm5NT3n4nSUlJtp4xYC3ARERE2HoJnT59mr///psBAwbYttm2bRtOTk62ggxYL7U6d+6cLVtAQAAWi4VNmzYBsH79eh588EHc3Nxo0KABkZGRODo60qxZM9s+cscAqlmzpl1b3bp18fKyjlW7efNmLBaL3XOQk5PD3r17OXHiBPHx8XTs2BEfHx/uvvtuIiMj2b9/P8uWLWPcuHF2z62jo6PdOZQGFX8qGFdHV5wcrG+s/239n8lp8mGxQNMbrfe/f9DaC2jX9xDzDyRGQ3aWqfFEREREREQqs0OHDhEfH29X5EhPT2fPnj3F2lvl77//pnXr1rZ9TpgwgdatW/Pss88C8MMPP9ChQwcCAwNt20RGRtKwYUO7y8C2bt2Kn5+fbfycsLAwXnjhBe68805q1qzJe++9x6233mq7ZC2/fURGRuY5t/MHiAbrJV/169fH29vb1vbiiy8yd+5cqlatyosvvoi/vz9Lly7lzJkzdO/enTZt2jB58mTq1Klz0XMoDRbDMIxSPWIpS0hIwNfXl/j4eHx8fMyOUyqeWfMMi/cvBmDRwEU09G9obqALnTsEM9qAkZ3/440Hwm2fl2okERERERGR4pSWlkZUVBS1a9cu9S/6xW3z5s20b9+e+Ph4u+JHSRo0aBBdu3bliSeeKJXjlWUXey0Vtuahnj8V0OSOk3F2cAbgtb9fo8zV96rUgtsXQIf7oOlN1svAXH2BfwcT2/0DxOw1M6GIiIiIiIj8a+vWrdSpU6fUCj8AXbt2ZdiwYaV2vIpOAz5XQG5Obnzc52Pu/vluNpzcwMH4g9T1q2t2LHv1r7XezpeTDXP6wdENMKsD+NeBlrdDt0etU8WLiIiIiIhIqStosOeSpB4/xUvfqCuo1sGtaRtiHYV8W8w2k9MUkoMjdBgNLv9Wk88ehNUvwpZPzc0lIiIiIiJSic2cOZNFixaZHUOugIo/FVjzQOvo4XvPlaNLqJrfApOOwrgd1rF/AHZ8Awd/g+ObIeGEqfFEREREREREyhtd9lWB+bv5A5CYkWhykiKyWMCvOnQaax3/59Cf1luuu5dAnR7m5RMREREREREpR9TzpwLzdPYEymHxJ1f1jtDxfqjeCYKb/te+7WvzMomIiIiIiIiUM+r5U4F5/zt2TnJmsslJLpODA/R75b/lg7/DvEHwzzLr4NAOjuZlExERERERKYQyN/uylDvF8RoytefPc889h8Visbs1atTI9nhaWhpjx44lICAALy8vBg8eTHR0tImJy5fcnj9JmUkmJykmNa+yTgmfEgtH1pmdRkREREREpEDOzs4ApKSkmJxEyrvc11Dua+pymN7zp2nTpqxcudK27OT0X6Tx48fz008/sXDhQnx9fXnwwQe5+eabWbNmjRlRyx0vZy+gHPf8uZCjs3UQ6IjPYfkzcO+v1vGBREREREREyhhHR0f8/Pw4ffo0AB4eHlj0/UWKwDAMUlJSOH36NH5+fjg6Xv7VL6YXf5ycnAgNDc3THh8fz8cff8yXX37JNddcA8CcOXNo3Lgx69evp1OnTqUdtdwp92P+5KfXs7BjEZzYAkc3QA29DkREREREpGzK/a6bWwASuRx+fn751k2KwvTiz759+wgPD8fNzY3OnTszffp0atSowebNm8nMzKR37962dRs1akSNGjVYt25dgcWf9PR00tPTbcsJCQklfg5llZdLBev5A+AdAs1vha2fwZdDIKAeDPkMfKuanUxERERERMSOxWIhLCyM4OBgMjMzzY4j5ZCzs/MV9fjJZWrxp2PHjsydO5eGDRty8uRJpk6dSrdu3dixYwenTp3CxcUFPz8/u21CQkI4depUgfucPn06U6dOLeHk5UPuZV/p2elkZmfi7Hj51weWKZ3HQuR8SIuH45vhz9dhwFtmpxIREREREcmXo6NjsXyBF7lcpg743K9fP2699VZatGhBnz59WLp0KXFxcXz99eVP5T1p0iTi4+Ntt6NHjxZj4vLF09kTC9ZrSuMz4k1OU4yCG8O47dBrinV59w+gEfRFRERERERE8mVq8edCfn5+NGjQgP379xMaGkpGRgZxcXF260RHR1/0WjdXV1d8fHzsbpWVk4MTge6BAESnVLBZ0nzCoNMYcHSB5Bg4sArSK8isZiIiIiIiIiLFqEwVf5KSkjhw4ABhYWG0bdsWZ2dnVq1aZXt87969HDlyhM6dO5uYsnwJ8QgBIDq5ghV/AJzdoFp76/3PB8Nr9SB2n7mZRERERERERMoYU4s/jz32GL///juHDh1i7dq13HTTTTg6OjJs2DB8fX0ZNWoUEyZMYPXq1WzevJmRI0fSuXNnzfRVBCGe/xZ/KlrPn1z9XoHAhmBxhKxU6yDQOTlmpxIREREREREpM0wt/hw7doxhw4bRsGFDhgwZQkBAAOvXrycoKAiAt956iwEDBjB48GC6d+9OaGgo3377rZmRy53cnj+nUyro1IKhzeHBjXDTe9blswdh+WRzM4mIiIiIiIiUIabO9jV//vyLPu7m5sasWbOYNWtWKSWqeGw9fyriZV/na3ozrJkB0dth/bvW6eCrtjE7lYiIiIiIiIjpytSYP1L8bGP+VNTLvnI5OsE9y/5bPrzWvCwiIiIiIiIiZYiKPxVcpSn+ALh6wdVPW+9HfAnZWebmERERERERESkDVPyp4M6/7MswDJPTlIL614LFAU7vhL8/NjuNiIiIiIiIiOlU/KngQjxCcHFwIS07jRWHV5gdp+SFt4Jrn7feXzNDvX9ERERERESk0lPxp4JzcXThriZ3AfDo74/y65FfTU5UCtrfC25+kHAMPugJ6YlmJxIRERERERExjYo/lcDoFqNt9387+ptpOUqNsxsMeNN6P3o7HFhtbh4RERERERERE6n4Uwl4OHvwcreXATiccNjkNKWk2WBocZv1/t8fw/HNUBnGPBIRERERERG5gIo/lURNn5oAHE08anKSUlTvWuvPg7/Bh9fAJ33hbJSpkURERERERERKm4o/lUQNnxoAxKTGEJ8eb3KaUtJsMHR/HMJaWpeProcZrazjAMXuNzOZiIiIiIiISKlR8aeS8HHxoZZPLQAiYyLNDVNaHBzgmqfhvj9g1AoIa2VtP7EVfplkajQRERERERGR0qLiTyXSMsjaA2Z77HaTk5igegcY/RuMXGZd3rccPrsZjm4yNZaIiIiIiIhISVPxpxKp5VsLgBNJJ8wNYhaLBWp2hnq9rcsHVsGKZ8zNJCIiIiIiIlLCVPypREI9QwE4mXzS5CQmGzYfBs6w3j+yDvatgOwsczOJiIiIiIiIlBAVfyqRMM8wACJOR5CVU4mLHY7O0HY4NLnBuvzFLTCzHaQnmZtLREREREREpASo+FOJ5BZ/MnMyGfLjELJzsk1OZLK+L0Odq633z0VZp4LPyTE3k4iIiIiIiEgxU/GnEgnzDKNn9Z4A7Du3j7Un1pobyGw+4XD3Yrj5I+ty9HaI3WtqJBEREREREZHipuJPJWKxWPjfNf/jpno3AZVoyvdLaXErhDS33t+2AI5uhMreK0pEREREREQqDBV/KqEA9wAAkjOTTU5ShtTqav3511vw8bWwaCSc3gOGYW4uERERERERkSuk4k8l5OnsCUBiRqLJScqQjqOh8UDwCLQu7/oe3u0IX94GKWfNzSYiIiIiIiJyBVT8qYS8nb0B9fyx418HbvscHt8PbYaDm6+1fd8v8OlADQQtIiIiIiIi5ZaKP5WQp4u1509SpqY2z8NigUEz4MnDcO3z1rboHXBmn7m5RERERERERC6Tij+VkJezF6CePxdlsUCXR6BmF+vy18PNzSMiIiIiIiJymVT8qYRyx/xRz59CaDTA+jNmNywaBad2mJtHREREREREpIhU/KmEcnv+JGWo+HNJncdAw/7W+zsWwXtd4Nv7zM0kIiIiIiIiUgQq/lRCXi7/Fn/U86dwbv4Arn8danWzLm+bD2nx5mYSERERERERKSQVfyqhALcAHC2OpGalcjLppNlxyj5XL+hwL4z4EXyrW9uObzY3k4iIiIiIiEghqfhTCXk4e9AkoAkAm6I3mZymnKne0frzq2Hw0bWw4X1z84iIiIiIiIhcgoo/lVS70HYAbDql4k+R9JwEPtUgKw2ObYSfn4At88xOJSIiIiIiIlIgFX8qqQ6hHQBYcXgFB+MOmpymHAmsB49EwP/9Cu5VrG1LHoKlj0NmmqnRRERERERERPKj4k8l1Sa4DX6ufiRnJnPD9zfw+O+Pk5qVanas8sHRGaq1hfv+gMaDrG0bP4CfHzc3l4iIiIiIiEg+VPyppDycPXijxxs09m8MwLJDy+jwRQfGrx5PVk6WyenKCb8aMGQe9HrWurxlHvz9CRiGublEREREREREzqPiTyXWIawDXw/8msfaPYajxRGAlUdWcs8v97A9ZruKQIVhsUC3R6HbY9blH8fDR711CZiIiIiIiIiUGRbDqNjdFBISEvD19SU+Ph4fHx+z45RZ2TnZ/HjwR55e87StzdvFm/ta3MfwpsNNTFZO5GTDTxNg81zrspsf3PsrBNQ1M5WIiIiIiIhUYIWteajnjwDg6ODIoLqDmNZ1Gk0DmgKQmJHIvJ2ayapQHBxh4Dtw3YvW5bQ4+KQvvNcVlj0F8cdMjSciIiIiIiKVl3r+SL6i4qMYtHgQzg7ObL5zMxaLxexI5cexzfBxbzBy7NuvegiCm0D968Az0JxsIiIiIiIiUmEUtubhVIqZpBwJ9ggGIDMnk9SsVDycPUxOVI5UawsP/g0JJ6y3lc9B4glY+z/r440GwNAvTI0oIiIiIiIilYeKP5IvDycPnBycyMrJIi49TsWfogqo+994P00GwcYPYf9KiPodjm4wN5uIiIiIiIhUKhrzR/JlsVjwc/UDIC49ztQs5Z6zO3R5GIbNByyQHAPf3gcntpqdTERERERERCoBFX+kQCr+FDMXDwhtbr2/bT58cDUc32xuJhEREREREanwVPyRAvm6+gIQnx5vcpIK5LbPoe8r4OwJGLD+PbMTiYiIiIiISAWn4o8UKMAtAIAzqWdMTlKBVKkJne6HYV9Zl4+uNzePiIiIiIiIVHgq/kiBcmf8Op162uQkFVB4K+vPuCNwdKOpUURERERERKRiU/FHChTkEQRAbEqsyUkqIDdfqNbBev+3l83NIiIiIiIiIhWaij9SoCB3a/FHPX9KSO8p1p8HVkFGirlZREREREREpMJS8UcKlNvz50jCEXKMHJPTVEDVO4Kjq/X+jFaw9n+QpEKbiIiIiIiIFC8Vf6RAzQOb4+3szcnkk6w/qYGJi52jM/R4wno/KRqWPw0f9VIvIBERERERESlWKv5IgTydPekY1hGAQ/GHzA1TUXV/DO5dDZ3GAhbrANCfDoT0JLOTiYiIiIiISAWh4o9cVO6MXzGpMSYnqcCqtoG+06DTGOvy8b/hnRYQu9/cXCIiIiIiIlIhqPgjF5U77s/pFI1FU+L6ToPOD1rvp5yBmW0hcr65mURERERERKTcU/FHLiq354+KP6Wkz0vWy8ByB4Je/AAknDA3k4iIiIiIiJRrKv7IReVO9x6Tosu+Sk3VNvDoHut9Iwd+eszcPCIiIiIiIlKuqfgjF+Xj6gNAYmaiyUkqGQ9/6Dreen/vT3B4nbl5REREREREpNxS8UcuytvZG4DkzGSTk1RCVz0MVWpb7//1prlZREREREREpNxyMjuAlG2ezp6AtfiTnZONo4OjyYkqEQ9/uPMb+F8b2LccPrsJqtQCFy9w9bY+7l8HavcA/V5ERERERESkACr+yEV5uXjZ7qdkpeDt4m1imkoooC60vB0iv4QDv+a/jkcg3PwB1OtVutlERERERESkXFDxRy7KxcEFJwcnsnKySM5MVvHHDP3fgNrdrNO/pydBRhKkJ0LSafjnZ0iJhc9vhsCG0PRG6DERHHRFp4iIiIiIiFip+CMXZbFY8Hb25lz6OZIyksDT7ESVkIsHtLo9/8fijsK8QXD2IMTuhd9fgY0fQpu7ocO94FutdLOKiIiIiIhImaPuAXJJueP+JGUmmZxE8vCrDg9vtd56PgUOzpB6Fta8DZ8OhJwcsxOKiIiIiIiIyVT8kUvKHfdnadRSTiSdMDmN5Mu/DvR8Ep6Mgu6PW9vOHoQVz5ibS0REREREREyny77kkgLcAgD4as9X7D6zm8+u/8zkRFIgV2+45mlwcoNfX4D178KZ/eBeBaq2hZpXQUhTs1OKiIiIiIhIKVLxRy5pQrsJhO0JY9E/i9h5ZieZ2Zk4OzqbHUsupvtjcGA1HP4L/llmbYv8CrBA2+HQ40nwCTc1ooiIiIiIiJQOi2EYhtkhSlJCQgK+vr7Ex8fj4+NjdpxyyzAMunzVhcTMRBYNXERD/4ZmR5JLSY6FfcshOwOid8GJrXBso/Uxv5owdgM4u5ubUURERERERC5bYWse6vkjhWKxWGgW2Ix1J9ex5MASHvd/3OxIcimegfazhOXkQOSXsOQhiDsM/2tnnQ3MMxAa9oMWQ8FRHwkiIiIiIiIVjXr+SKH9cewPxq4ai4PFgUUDF1G/Sn2zI8nlOPQXfHU7pMfbt7t4Q4PrrOMDhbeGJjeCq5cpEUVEREREROTS1PNHil23qt3oENqBjac2su7EOhV/yqtaXeGRCDi+GTJT4dQ2WDMDMhJhxzf/rbd+NoxaAS4epkUVERERERGRK6fijxSaxWKhU1gnNp7ayI7YHWbHkSvh4Q/1r7XebzIIuo6H3T9C0imIPw4bP4DoHTD/drh9ATi5mptXRERERERELpuKP1IkjQMaA7Avbp/JSaRYuXhCy9v+W25wHXwxBA6uhoUjoNlgaNDHOpW8iIiIiIiIlCsOZgeQ8qWqV1UATiSdoIIPF1W51esNt84BLLB3KXwzClZMMTuViIiIiIiIXAYVf6RIwjzDAEjJSiEhI8HkNFKimtwAI36EoEbW5b8/tk4fLyIiIiIiIuWKij9SJG5ObgS4BQDW3j9SwdXqCveuBsd/x/z5fqy5eURERERERKTIVPyRIqvhUwOAf879Y3ISKRUuHnD9q9b7/yyDP9+AHd9ap4xPOWtuNhEREREREbkkFX+kyFoHtwZg06lNJieRUtN2BLQYar2/6nlYNBLm9od3WkHsfjOTiYiIiIiIyCWo+CNF1iG0AwB/R/9tchIpVde9CJ3GQONBUKOztS09Ht7rCqd2mJtNRERERERECqTijxRZ6+DWOFmcOJ50nCE/DGHF4RVmR5LS4BUEfafDbZ/BPcvggbXgUxWyUmH9u2anExERERERkQKo+CNF5uHsQcfwjgDsPrubz3d9bnIiMUVIUxg4w3p/3wrISjc3j4iIiIiIiORLxR+5LG/2eJOJHSYCaMr3yqxGJ3D1geTT8PXdcOBXyM40O5WIiIiIiIicR8UfuSwezh60CW4DQEK6ij+VlqsX3Djbev+fZfDZTfBGIziywdxcIiIiIiIiYqPij1w2bxdvABIzE01OIqZqPACufx1qdrUup8TCL5PgzAFzc4mIiIiIiAig4o9cgdziT2pWKpm61Kdy63AvjPwJ7l9jXT6+Gf7XBpY/DYZhbjYREREREZFKTsUfuWxezl62++r9IwCENoNbPgGPAOvy2v/B1s/MzSQiIiIiIlLJqfgjl83RwdFWANK4P2LTbDA8uhcCG1iXl02C9e9pIGgRERERERGTqPgjV8THxQeAuTvnkpWTZXIaKTMcnWHUcvAOg4wkWPYkvNEQDq8zO5mIiIiIiEilo+KPXJF2oe0A+GbfN7T5rA0vrn+RmJQYk1NJmeBeBe77AzqNtS6nnIFPB8DJSHNziYiIiIiIVDIq/sgVeabTMwxtOBQnixMGBgv2LuC1Ta+ZHUvKCq9g6DsNxqwHr1DIyYI9P5mdSkREREREpFJR8UeuiJuTG5M7TebXIb8yqO4gAI4nHzc5lZQ5wY2h26PW+2tnQk62uXlEREREREQqERV/pFhUcavC4PqDATiXds7kNFImVW9v/ZmZDDNaw7p3ITPV3EwiIiIiIiKVgIo/UmyquFUBVPyRAoS3hg6jrffjDsMvk2DJQ+ZmEhERERERqQSczA4gFYe/mz8ASZlJZGRn4OLoYnIiKXP6vWq9BOzYZoj4HHZ8A84e0Op2qNHJ7HQiIiIiIiIVUpnp+fPyyy9jsVgYN26crS0tLY2xY8cSEBCAl5cXgwcPJjo62ryQclHeLt44Waz1xI93fGxyGimTLBZodw/cOAtqdAYjB7Z8Cp/0gfe6wTf/B6d3m51SRERERESkQikTxZ9Nmzbx/vvv06JFC7v28ePH88MPP7Bw4UJ+//13Tpw4wc0332xSSrkUB4sDIZ4hALwb8S6H4g+ZG0jKtsEfQd+Xodq/YwGd2gbbF8Lsq2DFFMjJMTefiIiIiIhIBWF68ScpKYk77riDDz/8kCpVqtja4+Pj+fjjj3nzzTe55ppraNu2LXPmzGHt2rWsX7/exMRyMdO6TrPdj05RLy25CN9q0OkB+L+V8NAW6P+mdTp4IwfWvA3fj4XsTLNTioiIiIiIlHumF3/Gjh1L//796d27t1375s2byczMtGtv1KgRNWrUYN26dQXuLz09nYSEBLublJ42IW1oE9wGgLj0OHPDSPkRUBfaj4JHIqHFUGtb5Jfw9yfm5hIREREREakATC3+zJ8/ny1btjB9+vQ8j506dQoXFxf8/Pzs2kNCQjh16lSB+5w+fTq+vr62W/Xq1Ys7tlyCr6svAPHp8SYnkXLH2Q1ufh+6PGJdjvjS3DwiIiIiIiIVgGnFn6NHj/LII4/wxRdf4ObmVmz7nTRpEvHx8bbb0aNHi23fUjh+rn6Aev7IFWg3yvrzZAQk6vJBERERERGRK2Fa8Wfz5s2cPn2aNm3a4OTkhJOTE7///jszZszAycmJkJAQMjIyiIuLs9suOjqa0NDQAvfr6uqKj4+P3U1Kl4o/csX8aoBHoPX+d/eZm0VERERERKScM63406tXL7Zv305ERITt1q5dO+644w7bfWdnZ1atWmXbZu/evRw5coTOnTubFVsKIfeyr892fUZKZorJaaRcsligzd3W+wdXQ3KsuXlERERERETKMSezDuzt7U2zZs3s2jw9PQkICLC1jxo1igkTJuDv74+Pjw8PPfQQnTt3plOnTmZElkJqHtjcdv+L3V9wb4t7TUwj5dY1T8OmjyE9HuZcDw+sAUdns1OJiIiIiIiUO6bP9nUxb731FgMGDGDw4MF0796d0NBQvv32W7NjySV0COvA6BajAdgeu93kNFJuOThCn5es92P3wp9vmJtHRERERESknDKt509+fvvtN7tlNzc3Zs2axaxZs8wJJJetvl99ABIzEk1OIuVam7vAyQ2+/T/47WUIbgxNbjA7lYiIiIiISLlSpnv+SPnl7eINqPgjxaDZzRDUGDDg67thw/tmJxIRERERESlXVPyREqHijxQbB0cY/gO0GGpd3vKZuXlERERERETKGRV/pETYij+ZKv5IMfAKgutesN6P3g6n95ibR0REREREpBwpU2P+SMWRW/xJykgix8jBwaI6o1whr2Co1Q0O/QnvdoTaPcA7DMJaQqcHrNPDi4iIiIiISB76Ri4lIrf4Y2CQnJlschqpMG79FKq2td6P+h22zYdfJsHxzebmEhERERERKcNU/JES4eroiqujKwAJGQkmp5EKwzMA/m8VjPgJrnsJanaxts+/A2L3mZtNRERERESkjFLxR0qMr6svAOfSzpmcRCoUiwVqdYWrHoR+r4LFAZJOwdfDITPN7HQiIiIiIiJljoo/UmKC3YMBiEmJMTmJVFihzeDmD633T++Er26DnBxzM4mIiIiIiJQxKv5IiQn0CAQgJlXFHylBzW+BW+eCkxsc/A0W3AmR881OJSIiIiIiUmZoti8pMUHuQQAcSzxGVk4WTg56uUkJaXoTHN8Ca2fA3p+stzP7rTOBBTaAoIZmJxQRERERETGNvo1LiQnysBZ/5uycw/LDy/nuhu9wd3I3OZVUWFc/BSFN4dBfsPUz+OO1/x4LbAgB9aDvNKhSy7SIIiIiIiIiZtBlX1JiuoR3wcvZC4DjScfZc3aPyYmkQnN2h5ZDYeAM6PUs1OlpnRbewRli91p7A61/z+yUIiIiIiIipU7FHykxLYJasGbYGrpUtU7Hve+cpuKWUuDgAN0ehbu/h3t/hcf+gWa3WB/bMBtObjM3n4iIiIiISClT8UdKlIPFgQZ+DQDYH7ff5DRSKXn4W6eEd3SxLn/UC45uNDeTiIiIiIhIKVLxR0pcqGcoALGpsSYnkUrLMwD+byW4+UF2Bnx8LSwea3YqERERERGRUqHij5Q4X1dfABIyEkxOIpVaWEt48G9ws74eifgC0uLNzSQiIiIiIlIKVPyREufj4gNAQrqKP2IyryB4bD+4eAMGzOoISafNTiUiIiIiIlKiVPyREpfb8yc+Xb0spAxwcoFmN1vvJ56ETR+Zm0dERERERKSEqfgjJc5W/MlQ8UfKiD4vQYO+1vu/vwK/vWxuHhERERERkRKk4o+UOF8Xa/EnOTOZzJxMk9OIAK7eMGgmuFovSeS36fDXW5CTbW4uERERERGREqDij5Q4bxdv231d+iVlhlcQTNgNVWpbl1c+BzPbwbp3IVtFShERERERqThU/JES5+jgSE2fmgBsj9luchqR87h6wV3fQaMB1uWzB+GXSbDre3NziYiIiIiIFCMVf6RUdArrBMD6k+tNTiJyAf/acNvncOun4F7F2rZqKqScNTeXiIiIiIhIMVHxR0pFbvFn3cl1JicRyYfFAk1vhIHvWJfjjsCXQ0yNJCIiIiIiUlxU/JFS0SGsAw4WB6Lio9h/br/ZcUTyV7/Pf5eAHdsERzeZm0dERERERKQYqPgjpcLHxYerq18NwIK9C0xOI1IAZzcY+gW0usO6PO8G2PihuZlERERERESukIo/UmpuqncTAL8f+x3DMExOI3IRPSeBuz9kJsPSx+CzmyE1zuxUIiIiIiIil0XFHyk1HcI64GRx4mTySaJTos2OI1Iwv+owbht4hVqXD6yCZRNBRUsRERERESmHVPyRUuPu5E6IZwgAJ5JOmJxG5BJcvWHsemhxm3U58itYdA+c3mNuLhERERERkSJS8UdKVbhXOADHk46bnESkENyrwE3vQ5dHrMs7v4V3O8I/v5ibS0REREREpAhU/JFSFe5pLf6cTD5pchKRQrJY4NrnYchnYPn3I/PLITC9ugaDFhERERGRckHFHylVuT1/dNmXlDtNBsFDm6H5EOtyeoJ1MOilj0OCipkiIiIiIlJ2qfgjpUrFHynX/OvA4A9h0jHwDLK2bfwAZrSCI+tNjSYiIiIiIlIQFX+kVFX1qgrAiWQVf6Qcc/WG+/6APtPAzQ+y0mDxA5CVbnYyERERERGRPFT8kVIV5hkGWHv+5Bg5JqcRuQI+4dB5rPVSMEdXOHsQXq8Pe382O5mIiIiIiIgdFX+kVIV4huBgcSAzJ5MzqWfMjiNy5TwDrZeCAaTFw1dDrT9FRERERETKCBV/pFQ5OzgT7BEM6NIvqUCa3ACPRP63/OkgyEwzL4+IiIiIiMh5VPyRUmeb7j1JMyRJBVKlFnR71Hr/ZAS8XAPWzoQcXd4oIiIiIiLmUvFHSl2Y17/j/qjnj1Q0vZ6Fjg+Aswdkp8PyyfBiMPz2stnJRERERESkElPxR0pdbs+fo4lHTU4iUgL6vQyTjlt7ATk4QU4m/DYd3mkF3z0AidFmJxQRERERkUpGxR8pdXX86gBwMO6gyUlESoiDg7UX0KRj0HW8te1cFER+CZ/dBPHHzc0nIiIiIiKVioo/Uurq+dUDYMvpLXy0/SO2xWwzOZFICXF2h97PwQNr4aYPwMUbTu+Et5rA+z1g4QjY9BFkZ5qdVEREREREKjCLYRiG2SFKUkJCAr6+vsTHx+Pj42N2HAHSs9Pp+lVX0rL/mw2pkX8jWgS2oIZPDa6reZ1tXCCRCmXnd/DTo5Byxr7dxQv860CVmtD0ZghtYR1A2tHJlJgiIiIiIlI+FLbmoeKPmGJL9BZ+OfQLm6I3se/cPrvHgj2CWXnLSiwWi0npREpY9C44tQ3ijsKG9yAlNv/1qraDxgMgrCXUuRr0nhARERERkfOo+PMvFX/Kvn/O/cP+c/vZHrudz3d/DsDaYWvxdvE2OZlIKcjOhLMHIXaftWdQ9E44dwiyUu3XazwQ+r8JXsGmxBQRERERkbJHxZ9/qfhTvnT+sjNJmUl8f+P31PGtY3YcEXPk5Fh7Bh34FbZ8ai0GAXgGQacx1kvEmtygnkAiIiIiIpVcYWseGvBZypRA90AAYgu6DEakMnBwgPBW0G0CPPg3dHsMnNwhOQZWTYWFw+GfZWanFBERERGRckLFHylTgjyCANgft9/kJCJlhKMz9HoGHomAbo9C1bbW9q+GwrKnoGJ33hQRERERkWKg4o+UKUHu1uLP9I3TmfDbBI4kHDE5kUgZ4R0KvZ6FG9+z9gICWD8L1s6AzLSLbysiIiIiIpWaij9SpgyuP5jq3tUBWHF4BaNXjOZc2jmTU4mUIUEN4ImD0P7/rMsrnoWZ7SEx2txcIiIiIiJSZqn4I2VKh7AO/HTTT7zb610C3AI4nnScn6N+NjuWSNni4gHXPg/Nb7Uuxx+B97vD8c3m5hIRERERkTJJxR8pcywWC92qdaNf7X4ARKeoR4NIHi6eMPgjuOl963LSKfjwGlgxxTpbmIiIiIiIyL+czA4gUpAA9wAAzqadNTmJSBnWcigE1oclD0P0DljzNhxYBdXaQ9V2ENgAqrc3O6WIiIiIiJhIPX+kzPJ38wfgTOoZk5OIlHFV28L/rfzvMrBT2+HvT+D7MfBxb+u4QCe2mptRRERERERMo54/UmbZij9pKv6IXJKzu/UysK7j4dgmOPg77PzW+tiad6y35kPArzqENocmN4LFYmpkEREREREpHRbDMAyzQ5SkhIQEfH19iY+Px8fHx+w4UgTbY7Zz+9LbAXB3cqeGdw26Vu3K6Baj8XD2MDmdSDmQdBpWToXdSyA9wf4xNz+o3sE6cHRwY1PiiYiIiIjIlSlszUPFHymzkjOTGfDdAGJTY+3aX+zyIjfUu8GkVCLlUFY6bP0czh2CpGjY/QNkplgfc/WB8TvAzdfUiCIiIiIiUnSFrXnosi8pszydPVk2eBlnUs+Qnp3OHT/dQWJmIieST5gdTaR8cXKF9qP+W05PggO/wtd3WXsE7VkKrYaZl09EREREREqUij9Sprk6uhLuFQ7AnU3uZHbkbGJSYkxOJVLOuXpBk0HQ8yn4bRosnwwxe6zjBjm7Q82uUK2t2SlFRERERKSYqPgj5UaQRxCAij8ixaXdSFj7P0g5Y50iPpeDM0zYDV5BpkUTEREREZHio+KPlBvB7sEAnE49bXISkQrCK9g6RfzO7yA9EbJS4Z/lkHAMZrSClkOtYwE16GsdHFpERERERMolFX+k3AjxDAHgZNJJk5OIVCDBjSB40n/Lh9bA/NshLQ42fWRt2/QxPL4fHJ1NiSgiIiIiIlfGwewAIoVVw7sGAOfSzxGXFmduGJGKqlYXeGgz9H0Fuj9unRI+LQ5eqwtno8xOJyIiIiIil0HFHyk3PJw9CPUMBeBQwiFzw4hUZJ6B0Ol+uOZpaDHE2pYWDyuehcPrwDDMzSciIiIiIkWi4o+UK3V96wKwPXa7yUlEKonrXoKu4633dy+BOX1hz4/mZhIRERERkSJR8UfKla5VuwKw6sgqk5OIVBJOLnDNM9BpDATUt7b9+Sb89TZs+xpyckyNJyIiIiIil6YBn6VcuSr8KgB2n9mNYRhYLBaTE4lUAg6O0Hc6NLkRPrkOTmyx3gB2fQ+3ztVg0CIiIiIiZZh6/ki5Ut27Oo4WR1KyUohJjTE7jkjlUqMj3PgedH4QQppZ2/b8CNsXmZtLREREREQuSj1/pFxxdnSmqldVjiQe4VD8IYI9gs2OJFK5tBpm/WkY8OlAOPQnLL4f3P2gfh9w0P8piIiIiIiUNforXcqdOr51APjn3D8mJxGpxCwW6Pvyf8tfDYVXa0OM3pciIiIiImWNij9S7jQLtF5usuTAEr7e+zXZOdkmJxKppEKbwT3LrT1+ANLiYFZ7eKclxOw1NZqIiIiIiPxHxR8pd1oHtwZg99ndvLD+BVYfXW1yIpFKrEZHuONruP8vcPGytp07BO/3gLijpkYTERERERErFX+k3Gkf2p4n2j9BswBrD6DN0ZtNTiQihDaHJw/BqJXW5axU2LvU1EgiIiIiImKl4o+UOxaLhbua3MWdTe4EYFvsNpMTiQhgne69envoNcW6/PcnkHDS3EwiIiIiIqLZvqT8quVTC4BTyafMDSIi9poNhj/fhJg9MKcvdH8CnFzB2R18q4NPOHgGmp1SRERERKTSUPFHyi1/N38AzqadxTAMLBaLyYlEBIAqNWH49zDvRuv4P9+PsX/c4gBVakFIU+j/FngFmRBSRERERKTyUPFHyi1/d2vxJysni4SMBHxdfU1OJCI2VdvCyKWw9n+Qchay0iAtHuKPQuo5OHvQenPzhRtmmZ1WRERERKRCU/FHyi1XR1e8nb1JzEzkTNoZFX9EyprQ5nDzB3nbz0bB9kWw+kXY+zNkZVjHC1LvPRERERGREqEBn6Vcy+39cyb1jMlJRKTQ/GvDVQ+BsyeknIEXg2BWR9j1vdnJREREREQqJBV/pFwL8wwDYNzqcczYMoPMnEyTE4lIoTi7wfWvgbOHdTl2L3x9N8zuChkp5mYTEREREalgVPyRcu3WBrcCkJCRwIfbP2TN8TUmJxKRQmt9Bzx5CB7eCq3vsrZFb4eN75saS0RERESkolHxR8q1a2tey5s936RFYAsADsYfNDmRiBSJkyv414EbZkKfada2v+dATra5uUREREREKpAiFX9effVVUlNTbctr1qwhPT3dtpyYmMiYMWPy21SkRFgsFq6teS1dq3YF4Oeon01OJCKXrfkQsDhC3GHrLGEiIiIiIlIsilT8mTRpEomJibblfv36cfz4cdtySkoK77+v7vpS+mr61ARgz9k97IzdaXIaEbksXkHQdbz1/mb1/hERERERKS5FKv4YhnHRZRGz9Kze03Z/3cl15gURkSvTeSw4usC5Q9YZwLIyzE4kIiIiIlLuacwfqRA8nD14rN1jALyz5R3i0+NNTiQil8XDH/q/ab1/Zh+83Qx+fREO/m5uLhERERGRckzFH6kwulfrbrsfcTrCvCAicmXa3AV9X7HeT4qGP16DeYNgxbMQu8/cbCIiIiIi5ZBTUTf46KOP8PLyAiArK4u5c+cSGBgIYDcekEhpq+1bm/ah7dl0ahNn086aHUdErkSn+6FGR9j1Pfz1lrVtzTuw4X0Y/DE0HmBuPhERERGRcqRIxZ8aNWrw4Ycf2pZDQ0P57LPP8qxTWLNnz2b27NkcOnQIgKZNm/Lss8/Sr18/ANLS0nj00UeZP38+6enp9OnTh3fffZeQkJCixJZKJMTD+tqIS48zN4iIXLnw1tZbqztg3UxrISj1HCy4A2p2gWrtockNULWN2UlFRERERMq0IhV/cos0xaVatWq8/PLL1K9fH8Mw+PTTT7nhhhvYunUrTZs2Zfz48fz0008sXLgQX19fHnzwQW6++WbWrFlTrDmk4qjiVgWAc2nnTE4iIsUmsD4MfAeuewl+fcHa++fwGuttzdvQaQz0nW52ShERERGRMqvIl30Vp4EDB9otv/TSS8yePZv169dTrVo1Pv74Y7788kuuueYaAObMmUPjxo1Zv349nTp1MiOylHFVXP8t/qSr+CNS4bh6Qb9X4KqHYNcS2Po5nN4J69+FlLNQrR3U6AyhzcxOKiIiIiJSphRpwOd169bx448/2rXNmzeP2rVrExwczOjRo0lPT7+sINnZ2cyfP5/k5GQ6d+7M5s2byczMpHfv3rZ1GjVqRI0aNVi3ruCpvNPT00lISLC7SeWR2/PnWOIxk5OISInxrQadx8ADa6DxIGvbtvmw9DF4rytsW2huPhERERGRMqZIxZ/nn3+enTt32pa3b9/OqFGj6N27NxMnTuSHH35g+vSidb3fvn07Xl5euLq6cv/99/Pdd9/RpEkTTp06hYuLC35+fnbrh4SEcOrUqQL3N336dHx9fW236tWrFymPlG91fOsA8Hf03+w7p1mBRCo0iwVu/RSGfgVdxkFQI8CAFc9AdpbZ6UREREREyowiFX8iIiLo1auXbXn+/Pl07NiRDz/8kAkTJjBjxgy+/vrrIgVo2LAhERERbNiwgQceeIDhw4eza9euIu3jfJMmTSI+Pt52O3r06GXvS8qf1sGtaRvSFoCNpzaanEZESpyDAzS6Hq6dCvf9CR6BkHgS/v7E7GQiIiIiImVGkYo/586ds5tp6/fff7fNzAXQvn37IhdbXFxcqFevHm3btmX69Om0bNmSd955h9DQUDIyMoiLi7NbPzo6mtDQ0AL35+rqio+Pj91NKg+LxcL/t3ff8VXV9x/H3+fckZsdsgOEPWTJFMSBVFHEvUepA1dVtLVuW3/WaltRW7V11C7FvVrEURURBQfIFFFBZM8MIGQnd57fHzf3kgthCjm5yevZ3kfuPd9zzv2cHC4mb77jyILwfFBfb/na5moANCunWzr2lvDz92+TXrtEWj3T1pIAAACAlmC/wp+8vDytWbNGkuTz+bRo0aKYiZerqqrkcrl+VEGhUEher1dDhw6Vy+XSjBkzom3Lly/X+vXrNXLkyB/1HmjdDs85XJL0zZZvbK4EQLMbca2UH/47QMvelqZcI635TCr5TgqF7K0NAAAAsMl+rfZ1yimn6M4779SDDz6oqVOnKikpSccee2y0fcmSJerevfs+n++uu+7SuHHj1KlTJ1VVVenll1/WzJkzNW3aNKWnp+vKK6/UzTffrMzMTKWlpenGG2/UyJEjWekLe9Q/O7zSz8bqjSqrL1OmJ9PmigA0G9OUfvq69MMH4WXhq0uk504Lt6UXSsMmSCNvkJwJ9tYJAAAANKP9Cn/uv/9+nXPOOTruuOOUkpKiyZMny+12R9ufeeYZnXTSSft8vtLSUl166aUqKipSenq6Dj/8cE2bNk0nnniiJOnRRx+VaZo699xz5fV6NXbsWD311FP7UzLaoDR3mnpk9NDK8pWasmKKrhpwld0lAWhOaQXhkMeTJs39u1S3Xdr6g1SxQZpxn/TZo9KIn0uFI8LLwqe1t7tiAAAA4JAyLMuy9vegiooKpaSkyOFwxGwvKytTamrqjx76dTBVVlYqPT1dFRUVzP/Thry07CVNmjdJLtOld89+V+1T+OUOaNPKN0iLX5JmNrEiZZ8zpA5DJEeC1GFo+OHYr38bAQAAAGyxr5nHfoU/V1xxxT7t98wzLWeVFcKftikQCuiYV49Rjb9GT57wpEZ1HGV3SQBaguot0uePSNvXSms/l7yVu+7j9EhjficdeW2zlwcAAADsj33NPPbrnzYnT56szp07a/DgwTqADkNAs3GaTg3JHaLPNn2mrXVb7S4HQEuRkiOd3ND7J+CTvnlD2rZSqtws+aqlVR9L/lrpgzukoq+lcZMkT7q9NQMAAAA/0n6FP9ddd51eeeUVrVmzRhMmTNDPfvYzZWYymS5apqzELEnStrptNlcCoEVyuqXB42O3hYLSh3dLXz4lff2yVLRYuuwdKTnblhIBAACAg2G/lnp/8sknVVRUpNtvv13vvPOOCgsLdcEFF2jatGn0BEKLk+VpCH/qCX8A7CPTEe4ZdPpfJWeiVLpUeupIaf6/pdoyu6sDAAAADsh+hT+SlJCQoIsvvljTp0/X0qVL1a9fP11//fXq0qWLqqurD0WNwAHJTgz/S/2ybctUH6i3uRoAcWXoZdK1n0up7aWaLdL/bpb+OkgqWmJ3ZQAAAMB+2+/wJ+Zg05RhGLIsS8Fg8GDVBBwU3TK6SZIWlS7SqNdGaca6GTZXBCCuZPeQbpgv/eRuSYZUXyH983jp4Z7Sn3pJb14r0esVAAAAcWC/wx+v16tXXnlFJ554onr16qVvvvlGTzzxhNavX6+UlJRDUSNwQEYWjNQlfS+RJNUF6vTnhX+2uSIAcSchRTruNum2VVKPE6WQX6oplapLpK9fkV6+UCpZaneVAAAAwB7t11Lv119/vV599VUVFhbqiiuu0Pjx45Wd3bInwWSpd1T5qjTq1VEKWAEdX3i8Jo2apERnot1lAYg3liWVrZYC9dInf5S+fze83emRTvq9lNZByugk5RwmOfZrPQUAAADggOxr5rFf4Y9pmurUqZMGDx4swzB2u9+UKVP2r9pDiPAHkjT528nRnj8dUjro2bHPqiClwOaqAMStqmJp0fPSwuekyo2xba6kcAjkSZcGXiwNm2BPjQAAAGj19jXz2K9/mrz00kv3GPoALdXl/S9XbaBWzy99XpuqN+mpr5/S/Uffb3dZAOJVar503O3SoPHSzAekig3hOYG2rpR8VdKW78P7bZgrZXaVuo22tVwAAAC0bfvV8yce0fMHjX207iP9auav1KtdL/33jP/aXQ6A1iYUkratlKqKpM/+JK35NLz9nH9Kh19gb20AAABodfY18/hRq30B8aZPVh9J0uqK1fKH/DZXA6DVMU0pp5fU7TjpxPt2bJ9ytVRbZl9dAAAAaNMIf9CmtE9ur1R3qgKhgI599Vh9uvFTu0sC0Fq1HyxN+GDH64e6Sotfsa8eAAAAtFmEP2hTDMPQLwb/QpJU46/Ry9+/bHNFAFq1ziOlC16QXMnh1+/8QlrxUXjlMAAAAKCZsBYt2pyLDrtImZ5M3TLrFi3dulSWZTGROYBDp+8Z4WFgjw0ITwr90rlSdi8pq4eUkicd/cvwpNAAAADAIULPH7RJowtHy2k6td27XRuqNthdDoDWzpMuXTdb6jEm/HrrD9Ly96SFz0p/HSQteoHeQAAAADhkCH/QJrkdbg3MGShJmrpyqlr5oncAWoL0jtLP/ivdsCA8FOyUP0nulHDb2zdI37xhb30AAABotQh/0GaN7jhakvTPb/6pX3zyC4WskL0FAWgbsnuGh4INv1q69C0pt294+5wn7a0LAAAArRbhD9qsiw67SOO6jpMkzdwwU0u3LbW3IABtT8dh4QBIhlS0WPrwbrsrAgAAQCvEhM9oszxOjx4a9ZDqAnWauWGmHlv4mP419l92lwWgrUnJlXqdLP3wvjT7cWn9l+G5gUyn5EqSOgyROh1pd5UAAACIY4Q/aPPO7nG2Zm6YqbnFc7W1bquyE7PtLglAW3PxK9L7d0jz/i5tnB9+NDbuIan3KVJGoT31AQAAIK4x7Att3vGdjleiM1GStLVuq83VAGiTDEM65SHpmlnhpd+HXCYNvkQyGv4z/f7t0mP9pXVzJH+9vbUCAAAg7tDzB5DUMbWjVmxfobK6MrtLAdCWtR8UfkQcdaM09Tpp08Lw62dPllLbSzfMlxJS7KgQAAAAcYieP4CkLE+WJGlb/TabKwGARnJ6S1d/LE34QErODfcEqtocXhnMV2N3dQAAAIgT9PwBJGV6MiVJ2+oIfwC0QJ1HSretkKbfI33xF2nmH8MB0IifhyeMTi2Q3MnhZeTTO9pdLQAAAFoYwh9AO8KfPy/8sz5a/5HuGn6X+mX3s7kqANjJsbdIFRulb/8reSukTx/adZ+0jtJ5z0idRjR/fQAAAGiRGPYFSBrVcZQ8Do8k6estX+ulZS/ZXBEANMGTHg52bvlBOuoX0uEXSYedJhUMlDK7h/ep3Ch9+rC9dQIAAKBFMSzLsuwu4lCqrKxUenq6KioqlJaWZnc5aMFq/bV6esnTevbbZyVJvx7xa53R/Qwlu5JtrgwA9tHGhdK/jg8/P+VP0rArJNNhb00AAAA4ZPY18yD8ARqp8FZo9GujFbACkqSrBlylXw75pc1VAcB+eO4Mac2s8PNOI8NLxiekSmntwz2HEttJydn21ggAAICDgvCnAeEP9tcn6z/R/V/ery11WyRJL57yogbmDLS5KgDYR6XLpLdvlDbO3/0+/c4JTxbtcEmmKxwGpbVvvhoBAABwUBD+NCD8wYGo8FZozBtjVB+sV3ZitmacP0OmwRRZAOKEZUmzH5eKvpbqy6X6Sqlig+Svleormj4m5zBp2JXSsAnhUAgAAAAtHuFPA8IfHKhl25bpgncvkCTNvGCmshKzbK4IAA6ClTOkmZOkmi1SKCAFfVJ1yY52R4I0+GfS2D9KLo99dQIAAGCv9jXzYKl3YDf6ZPVRlidL2+q3aUvdFsIfAK1DjxPCj8bK1khzn5YWPR/uHbTg3+F5g/qdLSVmhoeF5fULPwAAABB3GMcC7EFuUq4kqbS21OZKAOAQyuwqjXtQun211P+88LZtK8NLxk+7S5pytfT0sVLp9/bWCQAAgANCzx9gD3KScrSsbJlmb56tUR1H2V0OABxarkTpnH9InY+SKjZK3kqptkzatEAqXy/983jprKfCPYCye9pdLQAAAPYR4Q+wBwXJBZKkl5a9pFuG3iIXk6ACaO1Mh3TElbHbVs+Unj9L8tdIb1wmOdzSDQukdp3tqBAAAAD7iWFfwB5c3u/y6PPXf3jdvkIAwE7dRofDnkE/C78O+qTPHwn3BgIAAECLx2pfwF7cPut2vb/2fUnSiPwRuv/o+1WQUmBzVQBgk0XPS2/fuON1Th8pp7eU1l5KypSGXC6l5NhWHgAAQFvCUu8NCH/wY62rXKfff/l7fVn0pSSpT2YfvX46vYAAtFGhoPTebdLSqVLttl3b3anSiGuktA7SgPMkT3qzlwgAANBWEP40IPzBwbJkyxKNf2+8JGnRzxYx/w8AlC6T1n0hBf3S5sXSkldj2x0J4SDo6F+FewUZhi1lAgAAtFb7mnkw4TOwjwZkD5DTdCoQCmhr3VaGfgFAbp/wI+Lw86V1syVvtbRimrR9rTT78fAjIU06f7LU4wS7qgUAAGizmPAZ2EeGYSg7MVuSVFpXanM1ANAC9RgjnXCPdMpD0o1fSRe/KmX3Crd5K6WXzpOeGSdt+cHeOgEAANoYwh9gP+Qkhicx3Vq71eZKAKCFM02p9zjphvnSrSul3L6SFZLWz5aeHC59O8XuCgEAANoMwh9gP0TCn03Vm2yuBADiSEqOdO3n0tn/aNhgSf+ZIH31oq1lAQAAtBWEP8B+GJw7WJL09JKnde/sezV782ybKwKAOGE6pIEXShPeD8//I0lvTZQ+uEuqLpVa9/oTAAAAtmK1L2A/VPoqdc5b56iktkSSlOpO1awLZ8llsvIXAOyzik3SR7+VvnljxzZ3itR+cHiOoAHnSZndpdQ8+2oEAACIAyz13oDwBwfbtrptmrF+hv6y6C+q9FXq1G6natKxk+wuCwDiz6Lnpc8fk8pW7dpmmNLl70mdRzZ7WQAAAPGC8KcB4Q8OlXtn36v/rvivJOm1015T36y+NlcEAHGqvkLatEiqKpZWfCh91zAZdEYn6bTHpMxukjtZSs6RDMPWUgEAAFoSwp8GhD84VOoD9br8g8v13bbv5DSdmnLGFHVN72p3WQAQ/yo2SU8cIflrYrcfcZV06p/tqQkAAKAF2tfMgwmfgQPkcXr06OhHJUmBUECvL3/d5ooAoJVI7yD99DWp1zgpvVByJYW3z/+XNP230uKXpbrt9tYIAAAQR+j5A/xIH6z9QLfNuk25Sbmaft50mQaZKgAcVJYlPTVS2rJsx7bU9tJpj0q9T7avLgAAAJvR8wdoJscXHq9UV6pKa0u1oHiB3eUAQOtjGOGeQCfeJw04X3J6pKrN0isXhoeH0QsIAABgj+j5AxwE9825T2/88IYKUws15Ywp8jg9dpcEAK1XbZn02Z+lOU+EX3cYJrXrIrkSJU+6dNhpUm6f8HMmiAYAAK0YEz43IPxBcyiuKdbpb56u+mC9BuUM0gunvGB3SQDQ+s1+XPrw7t23Z3SSBv1MGn61lJTZfHUBAAA0E8KfBoQ/aC7Pf/e8Hl7wsCTpuI7H6aFRDykpMkkpAODgC4WkldPDS8T7qiV/nbRmlrRhvhSo27FfTh9pyCWSJ0Pqe4aUkGpbyQAAAAcT4U8Dwh80p19+/Et9vOFjSdL/Hfl/uqD3BTZXBABtVFWJ9PUr0pdPSdUlO7Z3GCZdOV0ymfYQAADEP8KfBoQ/aE61/lr95vPf6KP1H0mSnKZTp3Q9RbcfcbvSE9Jtrg4A2qDta6U5T0o1W6XvpoS3ZXaXOo+UBl8qdRpha3kAAAA/BuFPA8IfNLdN1Zt0/jvnq8pXFd02JHeInhv3nI1VAQD04d3heYIaG3yJ1Huc1OtkyXTYUxcAAMABIvxpQPgDO/iDflX7q/Xh2g/1+7m/lyQdnn24RheO1sldT1ZhaqHNFQJAG+Svl1Z8KNVskVbPlJa9vaMtt5/U90wpsZ006GLmBQIAAHGB8KcB4Q/s9tvZv9WUFVOir4/reJyeOOEJGysCAEiSvv2vNPsJafOi2O2uJKnrcdLQy6WUXCm1QEorsKVEAACAPSH8aUD4g5bgy6Iv9dr3r+mj9R+pR0YPvXnmm3aXBACQJMuS5v9L2vK9FPCGewY1niA6IqOz1GmkdMrDkoefJwAAQMuwr5mHsxlrAtqsIwuOVJYnSx+t/0hb67baXQ4AIMIwpOFX73gdCkrF30gLJ0vrZkv1FVJ1sVS+LvywgtLZf2d+IAAAEFcIf4BmkpWYJUkq95bLH/LLZbpsrggAsAvTIbUfJLV/bMe2stXSN/+RPvmD9M0b0trPpfaDpcE/kw471a5KAQAA9plpdwFAW5GRkCGHEf6X4tLaUpurAQDss8xu0nG3S6f/VTJdUlWRtPw96dWfSn87Wlr8slRfaXeVAAAAu8WcP0AzOuH1E1RaFw5+Hjj2AZ3W7TSbKwIA7JeqEqnkG+mHD6V5f49t63y01O9sqc8ZUmqePfUBAIA2hQmfGxD+oCX566K/6p/f/DP6+j+n/0e9M3vbWBEA4IBtXSG9d5u0+pNd29ypUsHh0k9flxJSmr82AADQJhD+NCD8QUtT7avWUa8cJUuWbht2my7td6ndJQEAfoxQUKrYKM37h/TDNGnbitj2TiOl0XdJ3Y6zpz4AANBq7WvmwZw/QDNLcafopqE3SZIWb1lsay0AgIPAdEjtOktj/yDdMF+6dYX0k7t3tK+fIz1/hjT5NGnab8IBUWWRffUCAIA2h9W+ABt0TesqSSqq5od/AGhVDENKyZVG3Sr1HhdeHv61n0lWSFr7Wfgx54nwvsOvkZKypdR8qXCElNM7fDwAAMBBRvgD2CAvOTwRaEltic2VAAAOCcOQ8vuHH79aKm3+SqqvkNZ9IX31Qnifef+IPSa3r3T+5HAIBAAAcBAR/gA2yE3KlSRtrdsqf8gvl+myuSIAwCGTVhB+SNKgi6Xj7w73/vHXSUG/VLwkHA6VLpWeP1O65E0pt4+9NQMAgFaF8AewQaYnU07TqUAooLUVa9WzXU+7SwIANJfUfOmk38duq9gkvXiutGWZ9NSRUqejpHZdpBPu2REcAQAAHCAmfAZsYBqmemaEA5+Xv3/Z5moAALZL7yBdMkXKHxB+vX629PXL0iOHSS+eJ815Ktw7CAAA4AAQ/gA2ufiwiyVJK7av2MueAIA2Ia299PPPpCumSSNv2LF95XRp2l3SP0aHVwz7+PfShvm2lQkAAOIPw74Am/TI6CFJKq4ptrkSAECLYRhSpyPDj0E/lbaukDbMDa8SVvzNjhXDPn1Y6nKslNlV+slvwkPJAAAAdoPwB7BJZMWvrXVbFQgF5DT5OAIAGsnrF370O0uyLGnBM1LZamnxS1Ld9h1B0JYfpCun2V0tAABowRj2Bdgky5Mlp+FU0Arq5WXM+wMA2APDkI64Uhr7B+mWH6Sfvi6d8ifJMKUNX0p/KJAe6Se9f6cU8NldLQAAaGEIfwCbOEyHumV0kyQ9vOBhXfb+ZZpfzBwOAIC9cLqlXmOl4VdLQyeEt/lrpcqN0ty/Sc+cJC1/X9q4UAp47a0VAAC0CIZlWZbdRRxKlZWVSk9PV0VFhdLS0uwuB4hR5avSz977mVZXrJYkHVlwpP550j9trgoAEDcsS6rZEg5/Pn9UWjg5tr3rcdLFr0juZFvKAwAAh9a+Zh70/AFslOpO1ZQzpuj3R/9ekvRl0Zdatm2ZzVUBAOKGYUgpuVK7LtLJk6Qjr5f6nill9Qy3r5klPdhFmvYbyV9nZ6UAAMBG9PwBWoBgKKijXjlKtYFaZSRk6KPzP1KCI8HusgAA8WzeP6UP7pRCgfDrgoHSOf+ScnrZWxcAADho6PkDxBGH6dCDox6UJJV7y3X+O+er1l9rc1UAgLg2/Grp10XhHkHuFKnoa+nJI6S3b5RWz5Qqi8LDxgAAQKtHzx+gBXn8q8f1jyX/kCQNyR2if439l1ymy+aqAABxr3SZ9O+xkrcidntCunTaI9KA8+ypCwAA/Cj0/AHi0I2Db9S9I++VJC0qXaRz3z5XgUh3fQAADlRuH+naz6TTHpUOO01q1zW8TLy3omE+oHq7KwQAAIcQ4Q/QwpzT8xzdOfxOSdKaijVaX7Xe5ooAAK1Cu87SsCuki16SfrlYumuTlF4oVRdLj/YNzxFUV253lQAA4BAg/AFaGMMwNL7PeHVO6yxJ2li10eaKAACtkjtJOv7u8PPabdJ7t0ovnSdt+UGqLZO81VLQz7xAAAC0Ak67CwDQtJ4ZPbWucp2mrZ2mUR1H2V0OAKA1GniR1GGo9PH90tK3pI3zw5NCxzCkzK7SmU9JnUfaUiYAAPhx6PkDtFCRnj9vr3pbm6o32VwNAKDVyu4pnf+cdMRV4bmA3Ck77WBJZaulZ0+WXh0vlXxnS5kAAODA2Rr+PPDAAzriiCOUmpqq3NxcnXXWWVq+fHnMPvX19Zo4caKysrKUkpKic889VyUlJTZVDDSf83ufH33+yrJXbKwEANDqGYZ06p/DcwH9epN0T1l4mfg71ko3LpI6Dg/v9/270t+Okv57lZ3VAgCA/WRr+DNr1ixNnDhRX375paZPny6/36+TTjpJNTU10X1+9atf6Z133tEbb7yhWbNmafPmzTrnnHNsrBpoHh1SOugvP/mLJOm9Ne/JH/LbXBEAoM0wHeE5gRLbSVndpaumS5f/T8rtF27/YZq99QEAgP1iWFbLmcVvy5Ytys3N1axZszRq1ChVVFQoJydHL7/8ss477zxJ0vfff68+ffpozpw5OvLII/d6zn1d8x5oifxBv8b8Z4zK6sskSSmuFA3OHazcpFwluZKU6cnUSZ1PUqe0TjZXCgBoE2q2hucGMozwymEAAMBW+5p5tKgJnysqKiRJmZmZkqSFCxfK7/drzJgx0X0OO+wwderUabfhj9frldfrjb6urKw8xFUDh47L4dKNg2/U7+b8TpJU7a/WZ5s+i9nnL4v+ojuH36nxfcbbUSIAoC1JzpaOuNLuKgAAwH5qMeFPKBTSTTfdpKOPPlr9+/eXJBUXF8vtdisjIyNm37y8PBUXFzd5ngceeEC/+93vDnW5QLM5r9d5OqHTCfIGvdpYtVGrK1arrL5MNf4avb78ddUGajVp3iT9c8k/dWLnE3XH8DvkNFvMRxsAAAAAYLMW8xvixIkT9e233+rzzz//Uee56667dPPNN0dfV1ZWqrCw8MeWB9iqnaedJCk/OV/D8odFt08cNFHXz7heC0sWalv9Nr26/FUtKFmgXw75pY7reJwMw7CrZAAAAABAC9Eilnq/4YYb9O677+qTTz5Rx44do9vz8/Pl8/lUXl4es39JSYny8/ObPFdCQoLS0tJiHkBr5XF69MzYZzTrglm6a/hdchgOrSxfqRs/vlF3fHqH3eUBAAAAAFoAW8Mfy7J0ww036M0339THH3+srl27xrQPHTpULpdLM2bMiG5bvny51q9fr5EjRzZ3uUCLleHJ0E/7/FSvnfaaBucOliRNXzdd3qB3L0cCAAAAAFo7W8OfiRMn6sUXX9TLL7+s1NRUFRcXq7i4WHV1dZKk9PR0XXnllbr55pv1ySefaOHChZowYYJGjhy5Tyt9AW1N78zeeu7k55TpyVTACuiLTV/YXRIAAAAAwGa2hj9/+9vfVFFRodGjR6ugoCD6eO2116L7PProozrttNN07rnnatSoUcrPz9eUKVNsrBpo2QzD0NC8oZKkRxY+om1121QfqLe5KgAAAACAXQzLsiy7iziU9nXNe6A1Kaou0hlTz1B9MBz6JDoTdXaPs3V0h6N1bIdjmQgaAAAAAFqBfc08WsSEzwAOroKUAv184M9lGuGPeF2gTi9//7Imzpiovy/5u4KhoM0VAgAAAACaCz1/gFbMsixZsvTu6nf1zDfPaFXFKknSuC7j9NBxD9lcHQAAAADgx6DnDwAZhiHTMHVG9zP0wikvaFjeMEnS9PXTVeWrsrk6AAAAAEBzIPwB2ohUd6qePflZdU3vqkAooLs/v1vPf/e8Plz7IRNCAwAAAEArxrAvoI15e9Xb+s3nv4nZluRM0sldT9awvGHqmNpR3TO6K83N5wUAAAAAWrJ9zTwIf4A2xrIs/W/N/zSvaJ5qA7WavXn2LkPATMPURb0v0p3D72RlMAAAAABooQh/GhD+AHsWCAX0wdoP9PH6j7WtbpvWVq5VWX2ZJGnyyZM1NG+ozRUCAAAAAJpC+NOA8AfYP5Zl6a7P79L/Vv9Pg3IG6dmTn5XTdNpdFgAAAABgJ6z2BeCAGIahK/tfqQRHghZvWaxPN35qd0kAAAAAgB+B8AfALnq266mLel8kSbrj0zv08+k/1zdbvrG5KgAAAADAgSD8AdCkKwdcqQHZA1QfrNfszbP17HfP2l0SAAAAAOAAEP4AaFI7Tzu9MO4FXdb3MknSmoo1NlcEAAAAADgQhD8AdsthOnRxn4slSSvLV2pd5TqbKwIAAAAA7C/CHwB7VJBcoERnoiTpkQWP2FwNAAAAAGB/Ef4A2CPTMHXL0FskSV8WfSlf0GdzRQAAAACA/UH4A2CvLuh9gXITc1UbqNWr37+q5WXLVVpbqkAoYHdpAAAAAIC9cNpdAPau7IUX5S8qUrufXix3x452l4M2yDAMjS4crdd/eF0PL3g4uj0nMUcvn/qy8pPzbawOAAAAALAn9PyJA+Wvv66yZ56Rf8MGu0tBG3Z5v8s1uuNo9WzXU+0S2kmSttRt0RlTz1BZfZnN1QEAAAAAdoeeP3HATEqSJIVqamyuBG1ZYVqhHj/h8ejruUVzddWHV6kuUKdXv39V1w+63sbqAAAAAAC7Q8+fOGAmJ0si/EHLMqJghO444g5J0vKy5TZXAwAAAADYHcKfOBANf2prba4EiNUto5skaU3lGpsrAQAAAADsDuFPHKDnD1qqbunh8GdtxVoV1xTbXA0AAAAAoCmEP3EgMudPkPAHLUxeUp4G5gyUJUv/XPJP1fj5MwoAAAAALQ3hTxyI9PyxGPaFFsYwDF1z+DWSpNd/eF0jXx6pCR9M0JoKhoEBAAAAQEtB+BMHIuEPPX/QEo1sP1KDcgZJkixZWlCyQI9/9fieDwIAAAAANBvCnzjAnD9oyVymSy+c8oK+uewbPTL6EUnS9HXTden7l2pd5TqbqwMAAAAAEP7EgcicP6z2hZbuxM4nakK/CZKkr0q/0i8//qUCoYDNVQEAAABA20b4EwfMtFRJUnDrNpsrAfbu5mE3687hd0qSVlWs0gtLX7C5IgAAAABo2wh/4oCnVy9JknfFCll+v83VAHv308N+qtEdR0uSHln4iN5c8aa9BQEAAABAG0b4EwdcnTrJTE2V5fPJu2qV3eUAe2UYhh4Z/Yh6tQsHl/fMvkd/mv8nm6sCAAAAgLaJ8CcOGIYhZ16uJClYXmFzNcC+cTlcevbkZ6MrgT239Dn9+rNfMwcQAAAAADQzwp84YRhGwzPL1jqA/ZHmTtPz457XkQVHSpLeWf2OPlz7oc1VAQAAAEDbQvgTNxrCH4vwB/HFMAw9fvzj0R5AP2z/wd6CAAAAAKCNIfyJF2b4VlmhkM2FAPvP4/ToxM4nSpI2VG2wuRoAAAAAaFsIf+JFZNgXHX8QpzqldZIkfbjuQ5XUlNhcDQAAAAC0HYQ/8cJk2BfiW9+svnKZLknSmP+M0XGvHacZ62fYXBUAAAAAtH6EP3HCiM75w7AvxKfcpFw9e/KzSnGlSJLK6sv0hy//IItAEwAAAAAOKcKfeGHQ8wfxb2DOQH18wcf639n/kyRtqduimz65SS8te0lVviqbqwMAAACA1onwJ15EJnwm/EGcS3QmqlNap+jy7x9v+FiT5k3SUa8cpbH/GavlZcttrhAAAAAAWhfCn3gR6fkTIvxB63D/0ffr1yN+rYsPu1i5ibmSpM01m3XeO+fpqcVPKcQQRwAAAAA4KJx2F4B9ZESeEP6gdchPztfFh10sSbpz+J1aULxAv/jkF6rx1+hvX/9NWZ4sXXjYhTZXCQAAAADxj54/ccIwGm4Vw77QCpmGqeEFw/XphZ9qSO4QSdIf5/1R84vn21wZAAAAAMQ/wp940TDsywoxFAatl9vh1tMnPq0R+SMUskL61zf/srskAAAAAIh7hD/xgtW+0EYkOhN145AbJUkrt6+0uRoAAAAAiH+EP/HCjIQ/9pYBNIcuaV0kSaV1parwVthbDAAAAADEOcKfOGFEZnxmBSS0AekJ6cr0ZEqSfvP5b2yuBgAAAADiG+FPvGDYF9qY4fnDJUmrylfZXAkAAAAAxDfCn3hhstoX2pZfj/i1JGlj9UYtL1tuczUAAAAAEL8If+JFdLUvwh+0De087ZSfnC9J+un/fqqSmhKbKwIAAACA+ET4Ey8aRn3R8wdtyf1H368sT5Z8IZ/++tVf7S4HAAAAAOIS4U+cMIzIrSL8QdtxZMGReuKEJyRJb696W7fPul3eoNfmqgAAAAAgvhD+xIvIhM8hVvtC29I/u7+uH3S9TMPU+2vf1z+W/MPukgAAAAAgrhD+xIvInD8M+0IbdN3A6/SbEeEl37/Y9IXN1QAAAABAfCH8iRdmZKl3e8sA7HJkwZGSpBXbVygQCthcDQAAAADED6fdBWAfMewLbVzH1I5KdaWqyl+lW2fdqiPyj5Db4Vavdr00MGeg3eUBAAAAQItF+BMnjB3LfdlaB2AX0zD184E/158W/Ekz1s/QjPUzJElO06n3z3k/uiw8AAAAACAW4U+8MBtG6DHnD9qwy/pdpq7pXTVn8xwV1xTr6y1fa0vdFn226TOd3+t8u8sDAAAAgBaJ8CdeRCZ8ZtgX2rhRHUdpVMdRkqR/Lvmn/vrVX3XfnPuUl5QX3Q4AAAAA2IEJn+OFwYTPwM4u6H2BUt2pkqSJMybq5WUv21wRAAAAALQ8hD9xwoiu9kX6A0SkJ6Tr1VNfVY+MHpKkh+Y/pNs/vV3//ubf8gV9NlcHAAAAAC0D4U/ciIQ/DPsCGuuU1klTzpiisV3GKmgF9f6a9/XYosd07tvn6sWlL2phyUKF+NwAAAAAaMOY8ydeROb8oecPsAvDMPTAsQ/o+MLj9f327/Xst89qbeVaPTj/QUlSRkKGOqd11u+O+p26Z3S3uVoAAAAAaF6EP/GC1b6APXKZLp3S7RSdolPUM6OnFpUuUmltqb7c/KXKveUq31Ku/674r24/4na7SwUAAACAZkX4Ey8aRn0pRPgD7M3p3U/X6d1PlyT5g35NmjdJr//wul5Y+oJuGHSDklxJNlcIAAAAAM2HOX/ihGEw4TNwIFwOl8b3HR99fcbUMzT528kqqi6ysSoAAAAAaD6EP/HCiNwqwh9gf3VL76Zbht6idgntVFJboj8v/LOu/PBKu8sCAAAAgGZB+BMvIhM+h1i1CDgQl/e/XNPOm6bxfcK9gDZUbdDWuq02VwUAAAAAhx7hT7yIDvuytwwgniU6E3Xn8DvVNb2rJOmKaVeowlthc1UAAAAAcGgR/sQJw2TOH+BgGZgzUJK0pmKNpqyYYnM1AAAAAHBoEf7EjUj4w7Av4Me6Zegt6pHRQ5L0yMJHNK9ons0VAQAAAMChQ/gTL1jtCzhoMjwZ+sMxf4i+/tXMX8kf9NtYEQAAAAAcOoQ/8cIM3yqL8Ac4KPpm9dXvjvqdJKnSV6kjXz5S986+V//65l8EQQAAAABaFafdBWAfNXT8UYjwBzhYzul5jsrqy/SXRX+RL+TTf1f8V5JUkFygU7udanN1AAAAAHBw0PMnXjDsCzgkrhpwlWacP0O3H3F7dCLozzZ9Ri87AAAAAK0GPX/ihGFEcjp+IQUOttykXF3S9xJlJGTo6y1f63+r/ydJmnTsJJsrAwAAAIAfj54/8aKh548VYrUv4FA5qv1RSnWnSpLeX/O+ttZttbkiAAAAAPjxCH/iBcO+gEMuKzFLX1z0hfpn9VfICunS9y/V7M2zVReos7s0AAAAADhghD/xwoyEP/aWAbR2hmHoZ31/JknaULVBP5/+cx332nFaW7HW3sIAAAAA4AAR/sQJI9Lzh2FfwCF3StdT9LujfqejOxwtSaoL1Omct8/R/OL58odYBh4AAABAfCH8iRuRtd7p+gMcaoZh6Jye5+jpMU/rieOfkCT5Q35dMe0KXf7B5SqtLbW5QgAAAADYd4Q/8cIM3yqWnwaa16iOo/TkCU/qhE4nSJKWbFmiE944QSf95yS9tfItm6sDAAAAgL0j/IkX0WFfhD9AczIMQ6M6jtJjP3lMNw+9WR1TOkqSimqKdPcXd2vWhlmEsgAAAABaNMKfeBEd9cUvmYBdJvSfoPfPfV/vnf1edNsNH9+g06eerrL6MhsrAwAAAIDdI/yJE4bRcKsIfwDbFaYV6pmxz+iI/CMkSesq1+mRBY/YXBUAAAAANI3wJ15Ehn1ZrPYFtARH5B+hZ8Y+o8dGPyZJemvVW7rj0zuYDBoAAABAi0P4Ey8awh/mFgFaluM7Ha9BOYMkSe+teU+T5k2ytyAAAAAA2AnhT7wwmfAZaIkMw9Dkkyfr8n6XS5Kmr5uu91a/t+eDAAAAAKAZEf7ECSM67IvwB2hpHKZDNw+9WVmeLEnSHZ/doWe/fVaLSxdredlyeuwBAAAAsJWt4c+nn36q008/Xe3bt5dhGJo6dWpMu2VZuueee1RQUKDExESNGTNGK1assKdYuxH+AC2aYRiaeubU6OtHFj6iS96/ROe9c55+8ckvFGK+LgAAAAA2sTX8qamp0cCBA/Xkk0822f7QQw/pr3/9q55++mnNnTtXycnJGjt2rOrr65u50hagYbUvi18ggRYrw5Oh/5z+H11z+DUaWTBSuUm5kqSZG2Zq4PMDdfkHl2te0Tx7iwQAAADQ5jjtfPNx48Zp3LhxTbZZlqXHHntMd999t84880xJ0vPPP6+8vDxNnTpVF110UXOWar9ozx97ywCwZ70ze6t3Zu/o63dWvaPfzv6t/CG/FpYs1JUfXqnDcw5XujtdTtMpl+mSy+FSXlKeEp2JsiIf8oYvXTO6akD2AHVI6WDD1QAAAABoDWwNf/ZkzZo1Ki4u1pgxY6Lb0tPTNWLECM2ZM2e34Y/X65XX642+rqysPOS1NouG7IdhX0B8Ob376Tqu8DgVVRfpL4v+os82faYlW5bs/3m6na5L+12qbundZBqmnGaL/esbAAAAQAvTYn97KC4uliTl5eXFbM/Ly4u2NeWBBx7Q7373u0Namx0Ms2GEXohhX0C8SXOnKS0zTY8f/7jmFM1Rubdc/qBfASsgf9Avb9CrTdWbovMCGQ1pb8AKaMqKKZKkd1a/o3dWvyNJSnWl6pXTXlHntM72XBAAAACAuNJiw58Dddddd+nmm2+Ovq6srFRhYaGNFR0s0a4/tlYB4MA5TIeO6XDMfh1zxxF36N4596q4pljfbP1GgVBAVf4qnfbmafrHif/QyPYjD1G1AAAAAFqLFhv+5OfnS5JKSkpUUFAQ3V5SUqJBgwbt9riEhAQlJCQc6vKaX8OcPywZDbQtSa4kPTTqIUlSXaBOM9bP0F2f3SVJmjhjos7peY76ZfXTqI6jlJWYZWepAAAAAFooW1f72pOuXbsqPz9fM2bMiG6rrKzU3LlzNXJkG/yXbrOh50+I8AdoqxKdiTq166m6/+j71Tmts/whv15b/prumX2Pxr83Xsu2LbO7RAAAAAAtkK09f6qrq7Vy5cro6zVr1mjx4sXKzMxUp06ddNNNN+n3v/+9evbsqa5du+r//u//1L59e5111ln2FW2X6GpfhD9AW2YYhs7qcZZO73a6Pt7wsT7b+JneXPmmNlVv0gXvXqDTu52u07qdpr5ZfZXhybC7XAAAAAAtgK3hz4IFC/STn/wk+joyV89ll12myZMn6/bbb1dNTY2uueYalZeX65hjjtEHH3wgj8djV8m2MQh/ADTiMB06sfOJOrHziTq/1/m6/8v7taxsWczE0IWphcpJzFGfrD7KT8pXVmKWglZQ3dK7qUdGD7kdblYNAwAAANoAw2rlk8hUVlYqPT1dFRUVSktLs7ucA7b16b9ry2OPKf28c9X+97+3uxwALUx9oF4vLntRK8tXamHJQhXX7H5VxAiX6dKIghF64vgn5DAdzVAlAAAAgINpXzMP/sk3XtDzB8AeeJweXTXgKknhieG/L/te1f5qrSxfqaKaIpXUlGh7/XZV+Cq0vGy5glZQ/pBfn2/6XAtKFmhEwQibrwAAAADAoUL4Ey+i4Y+9ZQBo+QzDUJ+sPpKkI/KP2KW91l8rS5ZunXWrPt/0uR5b+Jgm9J+gkEKqD9Srf1Z/9WjXo7nLBgAAAHCIEP7ECSO62lfI3kIAxL0kV5Ik6VdDf6XPN32ub7d9q1tm3RKzz39O/496Z/a2ozwAAAAABxnhT7xg2BeAg6xXu1568NgHNWXlFPmDfpmGqQUlCyRJ571zngpTC5XiStG4ruM0of8Em6sFAAAAcKAIf+JGQ/jDuC8AB9Ep3U7RKd1Oib5eULxAv/n8N9pcs1kbqjZIkpaVLVNWYpZO63aaTMO0q1QAAAAAB4jwJ16Y4V+4rBDhD4BDZ1j+MH1w7gdaU7FG5d5y/XHuH7V8+3L95vPfqD5Qr/N6nUcABAAAAMQZfoKPF9GOP4Q/AA4twzDULaObhuQN0Z3D75TDCC8Df/+X9+uYV47R0m1Lba4QAAAAwP4g/IkTBnP+ALDBsPxhmnXhLBWmFkqSqvxVuvDdC/Xrz36t++bcpwpvhc0VAgAAANgbwp94ERlmYbHaF4DmlZ6Qrv+d/T9NPnlydNs7q9/RGz+8oVOmnKLN1ZvtKw4AAADAXjHnT7xo6Plj0fMHgA0Mw9DQvKF6/PjHtbZirTZUbdDrP7yuSl+l7vrsLvVs11PZidm6sv+VcjlcdpcLAAAAoBHCn3hhRoZ92VsGgLZtdOFoKTwCTIPzBuuuz+7SotJFWlS6SJI0deVUjSgYoSG5Q3RG9zN2DFkFAAAAYBvCn3gR+QUqxLAvAC3DqV1PlS/oU3FNsRaVLNLc4rnaVL1JU1ZM0ZQVU5STlKOj2h9ld5kAAABAm0f4EyeY8BlAS2MYhs7peY6k8JDULzZ/ofWV6/Xy9y9rXeU6/eubf6lfVj+lJ6TbXCkAAADQthH+xIvIhM+M+wLQAhmGoWM6HCN1kAbmDtT4/43X/OL5Gv3aaI1oPyJ254a/xlymS1cffrUOzzm8+QsGAAAA2hDCn3gRmfA5RPgDoGXrl9VPjx//uO747A5V+ar0xaYvdrvvZ5s+031H36csT5ZGFIyQ0+Q/SwAAAMDBxk/Z8SIyZyrDvgDEgWM7Hqt3znpHX2z+IrpKYWT4qiFD3qBX9825T0ErqN98/htJUqo7VT8p/Il+fvjP1Smtk221AwAAAK0N4U+cMMyGYV+EPwDiRFZils7ofsZu22v8NZq1cZbq/HX6dtu3qvJV6e1Vb+vtVW/rkws+UXZidjNWCwAAALRe5t53QYvAal8AWpnL+l2mZ8Y+o1dOe0Xzxs/TDYNuiLad/dbZWrJliY3VAQAAAK0HPX/iRsOcP0z4DKAVSnQm6ucDf66QFdJTXz+lcm+5xr83Xpf0vUSDcgbpsMzDGAoGAAAAHCDCn3jBsC8AbcB1g65TVmKW/rzgz6oN1OqFpS/oBb0gSTqu43HyOD0anj9c+cn5qvRVqi5Qp6F5Q9UtvZvNlQMAAAAtF+FPvIhM+MxqXwBauQt6X6CxXcbqxWUv6quSrzS3eK4kadbGWZKkaWunxeyf6krVDYNvUPuU9ipILlCvdr2ik0sDAAAAIPyJG9FfZOj5A6ANSE9I18RBEyVJW+u26u1Vb8tturWlbos+3fip3A63Ul2pmlc8T1X+Kj0w74HosdcPvF7XDbrOrtIBAACAFofwJ14w7AtAG5WdmK0r+l8Rff2rob+KPi+rL9Pz3z2vVeWrtKJ8hTZVb9JTXz+lhaULdUX/K9Q/u7/S3Gl2lA0AAAC0GIQ/caNhwmeL1b4AICLTk6mbht4UfX3zzJs1fd10zS2aq7lFc5XgSNCvhv5K3qBX1b5qpbnTdGKXE9UhpYN9RQMAAADNjPAnXkSHfdlbBgC0ZA+OelBdFnfRJxs+0crylfIGvZo0b1LMPn9e+Gcdnn24UhNSle3J1hH5R8gwDBky1COjh9qntFe5t1y+oE/d0rvJYTpsuhoAAADg4CD8iROGM3yrLL/f5koAoOVymS79Ysgv9Ishv9CnGz/V1JVTJYWXknc73JpXNE/rq9ZrydYl0WPeWvXWHs/pcXh0TIdjNKrjKJ3V4ywmkwYAAEDcIfyJE2ZykiQpVFdrcyUAEB9GdRylUR1HxWyzLEvfbv1Wm6o3qbS2VPNL5qvWXyuX6ZIv5NP3275Xlb9KSc4k1QbCf9/WB+v10fqP9NH6j/THuX+UJUu+oE/dM7pr0rGT1D2ju5wm/zkFAABAy8VPq3HCTE6WJIVqamyuBADil2EYGpAzQANyBkiSLu13aUx7yAopEArI7XCr2let4ppildWX6cN1H2rqyqmqD9ZH911ZvlLnvXOeshOzdVLnk+QwHXKbbuUk5chpOJXkStIR+UcoPzm/Wa8RAAAA2BnhT5wwkxp6/tTS8wcADhXTMOV2uCVJKe4U9XD3kCQNLxiuGwbdoC11W5TkStKnGz/Vv7/5t0pqS7S1bqte/v7lJs+X6EzUw6Me1rEdj5VpmM12HQAAAEBjhmW17rXDKysrlZ6eroqKCqWlxe9yv77167XqpLEyk5LUe9FCu8sBAEhaVb5Kry1/TR6HR6Zhqi5Qp5LaEknSsm3LtLlmsySpU2on/XrErzU0b6g8To+dJQMAAKAV2dfMg/AnTgS2btWKY46VDEOHffetDJN/QQaAlqy0tlRXTrtSayvXRrc5DIdO6nKShuQOkSVL/qBfJ3Q+gaXnAQAAcEAIfxq0lvAnVFur5UOGSpJ6L1wQnQMIANCyvbf6Pb247EV9s/Wb3e7TI6OH/nTcn9Q9o3szVgYAAIB4R/jToLWEP5Zl6fu+/STLUs/PPpUzJ8fukgAA+6HCW6GZG2ZqWdkyFVUXyWE6tKhkkbbVb5MU7hX08HEPq39WfxWkFMiyLAWtoByGg+XlAQAA0KR9zTyY8DlOGIYhMylJoZoaJn0GgDiUnpCuM3ucqTN1ZnSbZVn6btt3uurDq1Tjr9HNM2/e5bjC1EKd1+s8HdX+KB2WeVhzlgwAAIBWgolj4khkxa9gRYXNlQAADgbDMNQ/u7/+fuLfNbpwtLITs3fZZ0PVBj268FGd/875Ovuts/XHuX9UMBS0oVoAAADEK3r+xBFnTo4CW7aofMoUJR5+uN3lAAAOkoE5A/X48Y9Lkqp8VfIGvTINU1tqt+ilZS9p9ubZKqkt0crylVpZvlLzi+drSO4Q9c7sLX/IL7fDLafhVG0g3DP0rB5nKdnF3HAAAAAII/yJI+lnn636pUtV/91SSZJ31Spt+Pm1cmRlqvPkyTITE22uEADwY6W6U5WqVElSpidT9x19nyzL0sKShZq6cqreWvVWNATanbdWvqXbj7hdQ/KGyDR238mXeYUAAADaBsKfOJI4MNzbJ7B1qySpeuZM+TdulH/jRtUuWqSUo4+2szwAwCFiGIaG5Q/TsPxhmtB/ghaVLtKczXMUCAXkdrjlDXjlt/ySpC82faFlZcs0YdoEpbpTlenJVDAUVMgKKWjt+FofqFd9sF4hK6REZ6K6p3fXoNxBKkguUG5yrk7sdKIcpkPBUFABKyCX6dpjkAQAAICWi9W+4oi/qEgrf3K85HLpsIULtGHiDar57LNwo9Op/LvvVruLLrS3SACArWZvnq0nv3pSS7Yu+dHnMg1TISskSSpILtBVA65Sz3Y91Sm1k7ISs370+QEAAPDjsNR7g9YU/oR8Pi0/fOAe9+kx4yO5OnRopooAAC3VltotWle5TqZhyjRMOQyHTDP81WE45HF45HF65Ha4VVpbqq9Kv9KCkgUqqi7Skq1LoqHP7gzLG6YEZ4LK6sokhZeqT3Yl66gORyk/KV9uh1vpCemqC9SpILlAic5EdUzt2ByXDgAA0GYQ/jRoTeGPJC07rM8u29xdu8q3Zo0kqcsbrytxwIDmLgsA0IpU+ipV7auWy3TJZbpUG6jVi8te1BebvtDqitUHfN5UV6qyErN0RP4RGtN5jLI8WSqtLdV273Y5DacKUwuV4ExQujtdGZ4MJTgSDuJVAQAAtD6EPw1aW/iz6tTT5Fu1KmZb4T//odKHHpJ3xUp1evYZJY8caVN1AIDWrtZfq//88B85zHBPn0xPpkzDlD/o17zieVpZvlKWLJXVl6nWXyvLslThq1CNv2a/3ifRmaibh96s3pm9ZciQy3TpsMzD5DAdh+jKAAAA4s++Zh5M+Bxnuk19U98P2LHMe0KfPkoaNkxmcookKVhdbVdpAIA2IMmVpEv7Xdpk2086/WS3x22u3qyNVRs1p2iO5myeo+Vly5XqTlVecp7aJbRTla9K2+q3qT5Qr+3e7aoL1OkPc/8Qc45Ud6oG5w5WIBRQv6x+cjvcyknM0aiOo+QP+eUNemVZljqmdgwPczNMVjEDAAAQ4U/cMVwutRs/XuX//a9yb71VmT8bL0kyU8LhT6h6//5lFQCA5tA+pb3ap7TX8ILh+uWQXyoQCshpNv1jSDAU1L+++ZfeW/NedIWyDVUbVOWr0qcbP5UUnth6b9oltIuueJbsTlZ5fbnaedrp+E7Hy5Ahf8iv/ln9leHJUMeUjgRFAACg1WLYVyux8aZfqeqDD5T3m98o85Kf2V0OAAAH1ebqzfp046dyO9yq9ddqWdkyVXortbBkoar8VUpwJMhtuhWwAqoL1O33+XMTc6PzDLkdbnVO66ycxByFrJBCVkj+kF8dUjro3F7nMhcRAABoMRj21cY4Uht6/tQw7AsA0Pq0T2mviw67aJftISskQ0a0104wFFS1v1pBK6iNVRvlC/q0vmq9TMPUtrptWlG+QtW+ahkyVFZfpk3Vm7StfptK60pVWlcaPe/CkoVN1vHEV09oYO5AZXoy1atdL2UlZqlfVj/lJeXJ5XDJaTjpQQQAAFocwp9WIjLnT4g5fwAAbYhpmDGvHaZD6QnpkqRMT6YkaVj+sD2eo7S2VBuqNsgb9MoX9KkuUKel25aqLlAnp+mUIUMhK6T317yv7d7t+nzT53usJz8pX5KUl5ynoXlD5XF4NLxguHKTcuUwHHIYDmV4MuQyXT/m0gEAAPYZ4U8rEZnzhwmfAQDYP7lJucpNyo3ZNq7ruF32u/WIW7V021Kt2L5C2+u36+stX2tT9SatLF8Z3SdkhbS5ZrMkaXPNZn1V+lW4YXHsuZKcSeqY2lEhK6QER4JyEnOU6EzUUR2OUl5SnvKS85TsTFZect5BvVYAANA2Ef60Es6s8L9u+tats7kSAABaJ5fp0sCcgRqYMzBmeyAUkC/okz/kV7W/Wltqt6g2UKsFxQtU6avUiu0rtHz7coWskAKhgPwhv2oDtfph+w+7vMf7a9+PeZ2dmC1DhuqD9UpwJKh3Zm+ZMtUlvUt4ImtXsk7sfKKyE7MP6bUDAID4xoTPrYR39RqtPuUUyeVS1//+R55evewuCQAANCEQCuir0q/kD/plmqbq/HXaUrdFayrWaF7xPNX4a1ThrVC1f99786a502QYhjI9mRqcO1hSeP6jHhk9lJ+Sr/bJ7ZXmTlOntE67DJUDAADxa18zD8KfVsKyLK0551x5ly2TJOXeeYeyLr/c3qIAAMAB21y9WaW1pfI4PXI73FpXsU7bvdtVF6jTiu0rFLSC+nbrtzHDzvYmNzFX+Sn50dXRshKzNK7rOI3IHxGe34jJqgEAiCuEPw3aSvgjSfU//KA1Z5wpSUro3Vtdp77JD3EAALRiISukDVUbFAwF5Q16Nb94vip9lXI73Npev11rKtZou3e7NlVvUo2/RoFQoMnzGDLkNJ0akD1A6QnpcppOmYYph+GQ03Qq0ZmoTqmdlOJOUUZChnKTctU3qy+9iAAAsBnhT4O2FP5Ikr+kVCuPO06S5MjOVsoxxyj5qJFKP+MMmysDAAB2qvRVannZclX6KuUP+uUNevX1lq/19qq35Q169/t8ae40pbhSZBqm3A63vEGvavw1MmTIMAw5jPDKa90zusuUKcMIb4/+z9jx1WW6lOBIkCVL6QnpSnenyx8K15iblKvu6d2V4k5RqjtVbodblmUpZIUkSW6HW26HW06DnksAgLaH8KdBWwt/JGnz3Xer4j//jdnW/YP35e7SxZ6CAABAi2VZlrbVb9OGqg1aW7FWQSuoYCiogBVQMBRU0AqqpLZEpbWlqvRWalv9Nq2rXCd/yG936TFMw1SaO00jC0YqPzlfya7kaGCU7EqWx+GRL+hT0AoqZIUUUigaImUkZKhbejeFFFIoFArv0/A8MzFTmZ5Muy8PAIAmEf40aIvhjxRe8r32yy+18YYbJUnJR41Uu/HjlXLssTLcbpurAwAA8azWX6sNVRuiYYov6FOCM0HJzmRJigYsK8tXqtJXKcuyZGlHbx3LsqLhiyVLvqBP3qBXhgxtqt6kkBWS2+GWaZhasX2Ftnu3q9pXrRp/jSw174+upmGqILlABckFykvOk8t0SZLS3elKdCWGr7chJLNkaUD2AHVJ6yJDhkzDlNN0Rh+mYSoQCigjIUMep6dZrwMA0DoR/jRoq+FPRNXMmdp47XXR186cHGVPnKjUk06UM5N/xQIAAPEjZIV75ZgyZRqmLFnR4WHegFfrKtdpYclCVfmqVO2vVpWvSjX+GlX5q+QNeMPDw0xnNJhxGA5ZsrR8+3LV+GvkMBzR7ZH5jCp9lQf9OkzDVF5SnjqldVJOYo6G5g1VqjtVHkd4cu/IJN8eh0cep0ceh0cuh0su0yW36ZbDdCjyI3wkDIsEaY23Rb4wmTcAtF6EPw3aevgjSdWffabKadNU/dEMBcvLwxsdDmVff52yJkyQmZRka30AAAAt1ZbaLdpYvVGbqzdrS+0WBazwpNnb6rZFh745DIccpkPegFeLSheprL5MlmWFh9BZQQVCAQVCAQWtoByGQ0Er2KzXkJ2YrezEbOUn5SstIU0hKxStpyC5QKnu1Gjg5TSdSnOnyR/yy7IsGUY4KDMNMxqamUZ4Dien4VTX9K5KdCZG53CK7Nd4TqdIkNb4HA7DoWRXMqEUAPxIhD8NCH92CNXWqvTPj6jqo48UKCmJbjfT0+UuLJS7Uye5u3SWIytLZmKSzKQkJQ0dImdOjo1VAwAAtB6ROZbWVqzV+qr12lC1Qcu2LVNdoE6+oE/1wfqYr3WBugOakDseOAyHJCnJmSTTNHdMDC5DASsgX9Any7KU5EpSfnJ+NLQKhALyh/zyBX1KdiWrc1pneZweJTgSlOhMlNN0RofiRYYaFqYWqkdGD7kdbvXP7q9Ud6qdlw4ABw3hTwPCn11ZlqXy117T1r//Q4Gioj3ua3g88vTrp9SfjFa7n/1Mpofx6QAAAM3JsiwFQgH5Qj75g34FrWA0JJG042ujXjSR54FQQKvKV6kuUBedqNthOOQ0nQpZIW2o2iB/yB8eUhcKyh/yq8JbIbfDLYfh2GVybEtW9Hm5t1wbqzbGzN+0836RuZ6ae66mPTENU0nOJOUl5alrelflJefFfA93XpEu/P+dtklKdiUrJyknfH0N1x20gtE5rUJWKPp9zUnKkcN0xJzHYTjUPaO78pPzleBIsPNbAiCOEf40IPzZPcuyFKqqkr+4WP716+Vbt16+9esVLC9XqK5WvtVr5N+4MeYYIyFB7k6FSujVW+7OnWQkeJQ27mS5O3Wy6SoAAAAQDxoHRL6QTxXeChkyVBeoiwZEkcDEaTrlNt0yDEOltaWq9ldHQ6vIw226VVRTpO3121UfrFd9oF7eoDcacEWGsnmDXq3YvkJFNUWq9ldrU/Umu78Vu0h0JqpdQju187RTekJ6NESSFBNAJTgS1D2je7SHU+M5qiLXnORKksfpkct07Xg4Yp+7TbdcpisaSJmGqWRXstwOFoYB4g3hTwPCnwNnhUKq/26ptjzxuGpmz5H8u1/S1ZGRITMpSWZKijyHD1BCjx5K7N9frk6dZCYly0z0yHA4mrF6AAAAIJZlWSqtLVVNoEZrKtZoY9VGlXvLdwRTshT+vxWzrfEE25HtW+u2qtZfG+3FYxiGTJkxgYppmApaweg8UI3PVR+s14rtK6JzR9nNYTiU4EiIzmGV5k5TRkKGklxJMmTE9ACLhHXBUFABK6BgKKhMT6ayE7Oj34/I9UdCu7ykvOgqfo3bGn//nIZTWYlZyvRkRid3d5gOOQ2nTHNHwOUwHdHnTtPJ6nlo0wh/GhD+HBxWKKRQTY2C5eXyrVmj+u+Xy1+0WTWzZ8u/bv1ej3ekpyvpqJFKP/10efr0kTM/nwn+AAAA0KaFrJCqfFWq8FaorL5M2+u3q9JXKafpjK5G1ziEqvZVa1X5qmjgEpnXKGgFo69r/bXRHlD+kF/+oD/63Bf0xTxvaUPyDlROYk60R1gkEHKZLqW6U5XgSIjOB5XiTlGCI0Fuh1tu0y23I9wDyjAM5SXlhcOvSNjUMAF6JGxKdiUryZkUE25Fnic4EuQ0nXZ/G9BGEf40IPw5tCzLUmDzZoVqaxWqq5Nv/QbVL12q+iVLwsPJNm2Smvgj5mjXTp4+feTqVCjTkyjDkxD96khNkyMjXWZysszUVDlSU6NfDSd/qQIAAAAHS6Q3z7b6bfIGvNEV6ip8FSqvL1dtoDbaqykSeERWbmvcC6ektkRVvqpoINU4lPIFfSquLVYwFIz2GGo8L1LkEQgFVFpbqnJveXReqsg5QlZIASsQ3bclMWQoxZUit8MdDZcioZPH6VFGQkbsULyGYXgep0eJjkR5nB6187RTsitZpszoML+dV8/zOD3K8mQpwZkgj8Mjt8NN6ATCnwjCH3tZfr9CXp/qv/1GVR9+qNr58+VdvUYKHtgSp0ZSkjw9e8rTr68cmVlyZGTI3bmTnNnZMhISZCanyJmTLcM0D/KVAAAAAGgJLMsKh0JWUFW+Km2p3aJAKKCgFZ60PLIiXLWvWt6gN7pyXqWvUr6gT76QL/w16AuvIGcFVFxTHD1HpBdV5HkgFFBNoCY6P1VLEul5lJ6QLrfDHQ2Loqvn7RTcRUOlhu0JjgQlu5KV4k6JBkqRR6QXVeMAKvJcUnT4XiQIjASD0W0NQyAdhkNpCWnhcMswo/WYhhkdYugyXbFD+hoN7WPEyJ4R/jQg/Gl5Ql6vvD/8oPqlyxTYskWWt16hunqF6utk1dUrWFmpUGWlgjXVClVVK1RVpVBt7b6/gcslV36+XO3by5mVJVeH9jKTkmR4EmWmJId7EiWnhJ+npMiMPJKSmJcIAAAAwB5FwqfIym7VvmpV+aqiw+28QW80dKr112q7d3u4bachePXBenkDXtUF6rStfpvqA/UxK+RZVuyqebWBWm2v395i5olqDoYMJbmSdgzBaxhyl+pOVUZChlJcKXI5XDHD+zxOjzwOT7SHVWQYYOOvkeeSlJeUp96ZvW2+0gNH+NOA8Kd1sAIBBauqFCwvV92iRfJt3KjgtjIFt5fJu2aNQhWVCnm9ClVXS6EDT+MNj0emxyMjMVFmYqJMj0fOvDw50lIlp1OGyyVnTo5ceXnhMCnREz6mYd/otoSEcO8jh0MyTBkuZ3jImmmSXAMAAAA4YCErJF/QFw2Z6gP1qvBWxAyLaxwaRUKqSK+lxkPtvEGvqn3VqvZXR3tERYKrxkPuInNDNZ6DKmSFJEvhIKzRan3RR8Mk4YFQQJW+StX6a2PaIkP9Kr2VClgB276fZ3Q/Q3845g+2vf+Pta+ZBwMEERcMp1POdu3kbNdOCV277nY/KxBQYMsW+Tdtkr+oSIHSLfIXF8uqr1Ooti48aXV1VbhHUU2NQtXVClZXS4HwXzZWfb2C9fVSefmOky5devAuxDTl7tJFZmqKTE+iXPn5cubmynC7ZbhcOx5ul+RwyHC6ZDgd4R5JznCAZDgckqPhudMRs9+uxzR9vOFyHbxrAgAAANBsTMMM925pRaucReaeajzcLjKMr8ZfEzPBeSAUUIW3QpW+StX4a+QL+eQNeMM9qRrCsLpAXbSXVWQYYCAU2OW5JUsdUjrYffnNgvAHrYrhdMpVUCBXQcE+H2NZliyfT6HqaoXq6mXV1SpUX69QXZ1CtbXyb9wky+uVFQjI8vnk37xZwe3bFaqvl1VXF963YchaZJvl301XzFBIvtWrD9LVHjgjIUFmamq0d5JhmuFeSQ1f5TBlmOGQyExJCU++nZIsR0aGHCkpkumQTEOGaYZ7Q+Xly9EuY0fw5HSGAypXJKxyyExKliMtVYbHQ+8nAAAAAFGRldMc2nUajuzEbBsqan0If9DmGYYRDkMSEg7aOa1QSAqFwl8DAVnBoKxAQKGaGvnXrw8HRjU18m/arMC2bbIC/nBg5PfL8gdk+X2yAkFZwYAUCB9rBYPhc0WeBwPhfYMN+0WfB8PniTwP7NqF0vJ6FfR6D9r17peGnkdGQ08kRXojRXonORwNvZiccmRkyJmZKSPR09Aryi1HuwyZCZ5oQCWHGT7WNGU4GnpDmWZ4uJ1p7AiqnM5wkJWQEB6W53aHa4jUEu115aZnFAAAAIBWhfAHOASiPWkkye3e0dCundwdOzZrLZZlSY2CIMvvV7A6PJF2OKSypFAwGlg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      "text/plain": [
       "<Figure size 1400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (14, 8))\n",
    "\n",
    "legendList = []\n",
    "for sgd_err, eta in zip(sgdErrList, etaList):\n",
    "    plt.plot(sgd_err[0 : 2000])\n",
    "    legendList.append('$\\eta = ' + str(eta) + '$')\n",
    "\n",
    "plt.plot(sgdErrList[-1][0 : 2000])\n",
    "legendList.append('$\\eta = 1 / num Iter$')\n",
    "    \n",
    "plt.legend(legendList, loc = 'upper right')\n",
    "plt.xlabel('Iteration')\n",
    "plt.ylabel('MSE')\n",
    "plt.title('Зависимость среднеквадратической ошибки от номера итерации SGD')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (14, 8))\n",
    "\n",
    "for sgdCoef in sgdCoefList: \n",
    "    plt.plot(X[:, 1], sgdCoef[0] + sgdCoef[1] * X[:, 1] + sgdCoef[2] * X[:, 2])  \n",
    "\n",
    "plt.plot(X[:, 1], as_coef[0] + as_coef[1] * X[:, 1] + as_coef[2] * X[:, 2])    \n",
    "    \n",
    "plt.plot(X[:, 1], y, '--')\n",
    "    \n",
    "plt.legend(legendList + ['Analytical solution', 'Real'], loc = 'lower right')\n",
    "plt.xlabel('X')\n",
    "plt.ylabel('Y')\n",
    "plt.title('Сравнение прогноза построенных моделей с фактическими данными')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 6. Разложение ошибки на смещение и разброс\n",
    "Зависимость целевой переменной и предикторов выражается следующей формулой:\n",
    "$$\n",
    "\\mathbf{y} = a + \\mathbf{\\varepsilon}.\n",
    "$$\n",
    "\n",
    "При этом ошибка удовлетворяет 3 свойствам:\n",
    "- $\\mathbb{E}(\\varepsilon_{i}) = 0, \\quad i = \\overline{1, n}$;\n",
    "- $\\mathbb{D}(\\varepsilon_{1}) = \\mathbb{D}(\\varepsilon_{2}) = \\ldots = \\mathbb{D}(\\varepsilon_{n}) = \\sigma^{2} < \\infty$ ([*гомоскедастичность*](https://en.wikipedia.org/wiki/Homoscedasticity));\n",
    "- $Cov(\\varepsilon_{i}, \\varepsilon_{j}) = 0, \\quad i \\neq j, \\quad i, j = \\overline{1, n}$.\n",
    "\n",
    "Наша задача, построить такую функцию $a^{*}$, которая будет являться наилучшей оценкой для $a$.\n",
    "\n",
    "Рассмотрим квадратичную функцию потерь и оценим ошибку для функции $a^{*}$:\n",
    "\n",
    "$$\n",
    "\\mathbf{\\varepsilon}^{*} = \\mathbb{E}\\Big[\\Big(\\mathbf{y} - a^{*}\\Big)^{2}\\Big] = \\mathbb{E}\\Big[\\mathbf{y}^{2}\\Big] - 2\\mathbb{E}\\Big[\\mathbf{y}a^{*}\\Big] + \\mathbb{E}\\Big[a^{*^{2}}\\Big].\n",
    "$$\n",
    "\n",
    "Из выражения для дисперсии случайной величины получаем, что первое слагаемое примет следующий вид\n",
    "\n",
    "$$\n",
    "\\mathbb{E}\\Big[\\mathbf{y}^{2}\\Big] = \\mathbb{D}\\mathbf{y} + \\Big(\\mathbb{E}\\mathbf{y}\\Big)^{2} = \\mathbb{E}\\Big[\\Big(\\mathbf{y} - \\mathbb{E}\\mathbf{y}\\Big)^{2}\\Big] + \\Big(\\mathbb{E}\\Big[\\mathbf{a} + \\mathbf{\\varepsilon}\\Big]\\Big)^{2} = \\\\ = \\mathbb{E}\\Big[\\Big(\\mathbf{y} - \\mathbb{E}a - \\mathbb{E}\\varepsilon\\Big)^{2}\\Big] + \\Big(\\mathbb{E}\\mathbf{a} + \\mathbb{E}\\mathbf{\\varepsilon}\\Big)^{2} = \\\\ = \\mathbb{E}\\Big[\\Big(\\mathbf{y} - a\\Big)^{2}\\Big] + a^{2} = \\mathbb{E}\\Big[\\Big(\\mathbf{y} - \\mathbf{y} + \\mathbf{\\varepsilon}\\Big)^{2}\\Big] + a^{2} = \\\\ = \\mathbb{E}\\Big[\\mathbf{\\varepsilon}^{2}\\Big] + a^{2} = \\mathbb{D}\\mathbf{\\varepsilon} + \\Big(\\mathbb{E}\\mathbf{\\varepsilon}\\Big)^{2} + a^{2} = \\mathbb{D}\\mathbf{\\varepsilon} = a^{2} = \\sigma^{2} + a^{2},\n",
    "$$\n",
    "\n",
    "а третье\n",
    "\n",
    "$$\n",
    "\\mathbb{E}\\Big[a^{*^{2}}\\Big] = \\mathbb{D}a^{*} + \\Big(\\mathbb{E}a^{*}\\Big)^{2}.\n",
    "$$\n",
    "\n",
    "В свою очередь, второе слагаемое можно расписать так\n",
    "\n",
    "$$\n",
    "\\mathbb{E}\\Big[\\mathbf{y}a^{*}\\Big] = \\mathbb{E}\\Big[\\Big(a + \\mathbf{\\varepsilon}\\Big)a^{*}\\Big] = \\mathbb{E}\\Big[aa^{*}\\Big] + \\mathbb{E}\\Big[\\mathbf{\\varepsilon}a^{*}\\Big] = \\\\ = a\\mathbb{E}a^{*} + \\mathbb{E}\\mathbf{\\varepsilon}\\mathbb{E}a^{*} = a\\mathbb{E}a^{*}.\n",
    "$$\n",
    "\n",
    "Таким образом, имеем\n",
    "\n",
    "$$\n",
    "\\mathbf{\\varepsilon}^{*} = \\sigma^{2} + a^{2} + \\mathbb{D}a^{*} + \\Big(\\mathbb{E}a^{*}\\Big)^{2} - 2a\\mathbb{E}a^{*} = \\\\ = \\underbrace{\\Big(a - \\mathbb{E}a^{*}\\Big)^{2}}_{\\text{Квадрат смещения}} + \\underbrace{\\mathbb{D}a^{*}}_{\\text{Дисперсия оценки (разброс)}} + \\underbrace{\\sigma^{2}}_{\\text{Шум}},\n",
    "$$\n",
    "\n",
    "где *смещение* - это отклонение, усредненного прогноза рассматриваемой модели (по различным обучающим выборкам) от прогноза идеальной модели;  *разброс* - показывает насколько разными могут получаться предсказания если обучать алгоритм на разных обучающих выборках; *шум* - характеристика данных, которая будет наблюдаться даже на идеальной модели. \n",
    "\n",
    "Мы ничего не можем сделать с шумом, поскольку он является свойством данных, но можем повлиять на первые два слагаемых. Можно показать, что МНК дает несмещенные оценки. Но, как правило, чем меньше становится смещение, тем больше модель подгоняется под обучающую выборку, становясь тем самым [*переобученной*](https://en.wikipedia.org/wiki/Overfitting), что приводит к возрастанию дисперсии оценки. Для нахождения некоторого баланса между квадратом смещения и дисперсией оценки используется [*регуляризация*](https://en.wikipedia.org/wiki/Regularization_(mathematics)). "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 8. Переобучение модели и регуляризация\n",
    "\n",
    "[*Переобучение*](https://en.wikipedia.org/wiki/Overfitting) - это свойство модели переподгоняться под обучающую выборку, что плохо сказывается на ее обобщающей способности. В этом случае качество модели на новых данных становится значительно ниже. Противоположная ситуация - *недообучение*. В случае *недообучения* плохо описывается и обучающая выборка, и новые данные.\n",
    "\n",
    "<img src=\"https://raw.githubusercontent.com/foobar167/articles/master/Machine_Learning/Brochure/data/Ris2.6-Nedoobucheniye-optimum-i-pereobucheniye-v-regressii.png\">\n",
    "\n",
    "Одна из причин переобучения - *мультиколлинеарность*. Это ситуация, при которой в выборке имеются линейно зависимые признаки. В этом случае, задача минимизации функционала ошибки будет иметь бесконечно много решений и далеко не все из них будут обладать обобщающей способностью. \n",
    "\n",
    "Как определить, что наша модель переобучилась? \n",
    "- Один из способов выявить переобучение - использовать **отложенную** выборку. В этом случае, выборка разбивается на 2 части: *train* и *test*. На *train'е* происходит обучение модели. После, обученная модель прогоняется на тестовой выборке и сравнивается на сколько качество на обучении отличается от теста. Как правило, в тренировочную часть попадает 70 - 80% от исходных данных.  \n",
    "\n",
    "*Преимущество*: обучение происходит один раз.\n",
    "\n",
    "*Недостаток*: группа схожих объектов, например автомобили марки BMW, могут не попасть в обучение. Таким образом, качество работы модели на таких объектах в дальнейшем может быть плохим.\n",
    "\n",
    "Для разделения выборки на 2 части можно воспользоваться методом[`train_test_split()`](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html) из библиотеки `sklearn.model_selection` предварительно перемешав данные с помощью метода [`shuffle()`](https://scikit-learn.org/stable/modules/generated/sklearn.utils.shuffle.html) библиотеки `sklearn.utils`.\n",
    "\n",
    "\n",
    "- Другой способ - [**кросс - валидация**](https://en.wikipedia.org/wiki/Cross-validation_(statistics)). Исходные данные делятся на $k$ фолдов примерно одинаково размера. Затем на $(k - 1)$ блоке производится обучение модели, а оставшаяся часть используется для тестирования. Процедура повторяется $k$ раз, при этом на каждом проходе для проверки выбирается новый блок, а обучение производится на оставшихся.\n",
    "\n",
    "*Преимущества*: распределение классов оказывается более равномерным, что улучшает качество обучения, оценка является более надежной.\n",
    "   \n",
    "*Недостаток*: обучение модели происходит $k$ раз.\n",
    "\n",
    "Для разбиения выборки на $k$ частей можно воспользоваться методом[`KFold()`](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html) из библиотеки `sklearn.model_selection`. В данной библиотеке также существует метод [`StratifiedKFold()`](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedKFold.html), который производит стратифицированное разделение выборки на фолды. Кроме того, можно воспользоваться методом [`cross_val_score()`](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_score.html), который принимает на вход выбранный алгоритм построения и сразу выдает результаты.\n",
    "\n",
    "\n",
    "Выбор $k$ зависит от объема выборки.\n",
    "\n",
    "<img src=\"https://brettromero.com/wp-content/uploads/2016/05/cross-validation-639x350.png\">\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-----KFOLD-----\n",
      "TRAIN: Share Value 1 = 0.111 Share Value 2 = 0.167 Share Value 3 = 0.389\n",
      "TEST: Share Value 1 = 0.056 Share Value 2 = 0.167 Share Value 3 = 0.111\n",
      "\n",
      "TRAIN: Share Value 1 = 0.056 Share Value 2 = 0.278 Share Value 3 = 0.333\n",
      "TEST: Share Value 1 = 0.111 Share Value 2 = 0.056 Share Value 3 = 0.167\n",
      "\n",
      "TRAIN: Share Value 1 = 0.167 Share Value 2 = 0.222 Share Value 3 = 0.278\n",
      "TEST: Share Value 1 = 0.0 Share Value 2 = 0.111 Share Value 3 = 0.222\n",
      "\n",
      "\n",
      "-----STRATIFIED KFOLD-----\n",
      "TRAIN: Share Value 1 = 0.111 Share Value 2 = 0.222 Share Value 3 = 0.333\n",
      "TEST: Share Value 1 = 0.056 Share Value 2 = 0.111 Share Value 3 = 0.167\n",
      "\n",
      "TRAIN: Share Value 1 = 0.111 Share Value 2 = 0.222 Share Value 3 = 0.333\n",
      "TEST: Share Value 1 = 0.056 Share Value 2 = 0.111 Share Value 3 = 0.167\n",
      "\n",
      "TRAIN: Share Value 1 = 0.111 Share Value 2 = 0.222 Share Value 3 = 0.333\n",
      "TEST: Share Value 1 = 0.056 Share Value 2 = 0.111 Share Value 3 = 0.167\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import KFold, StratifiedKFold\n",
    "\n",
    "y = np.hstack((np.ones(3), 2 * np.ones(6), 3 * np.ones(9)))\n",
    "x = np.arange(0, 18)\n",
    "\n",
    "print('-----KFOLD-----')\n",
    "kf = KFold(n_splits = 3, shuffle = True, random_state = 1)\n",
    "for train_ind, test_ind in kf.split(x):\n",
    "    print ('TRAIN:', \n",
    "           'Share Value 1 = ' + str(round((y[train_ind] == 1).sum() / float(len(y)), 3)),\n",
    "           'Share Value 2 = ' + str(round((y[train_ind] == 2).sum() / float(len(y)), 3)),\n",
    "           'Share Value 3 = ' + str(round((y[train_ind] == 3).sum() / float(len(y)), 3))\n",
    "          )\n",
    "           \n",
    "    print ('TEST:', \n",
    "           'Share Value 1 = ' + str(round((y[test_ind] == 1).sum() / float(len(y)), 3)), \n",
    "           'Share Value 2 = ' + str(round((y[test_ind] == 2).sum() / float(len(y)), 3)),\n",
    "           'Share Value 3 = ' + str(round((y[test_ind] == 3).sum() / float(len(y)), 3)),\n",
    "           end = '\\n\\n')\n",
    " \n",
    "\n",
    "print()\n",
    "print('-----STRATIFIED KFOLD-----')\n",
    "skf = StratifiedKFold(n_splits = 3, shuffle = True, random_state = 1)\n",
    "for train_ind, test_ind in skf.split(x, y):\n",
    "    print ('TRAIN:', \n",
    "           'Share Value 1 = ' + str(round((y[train_ind] == 1).sum() / float(len(y)), 3)),\n",
    "           'Share Value 2 = ' + str(round((y[train_ind] == 2).sum() / float(len(y)), 3)),\n",
    "           'Share Value 3 = ' + str(round((y[train_ind] == 3).sum() / float(len(y)), 3))\n",
    "          )\n",
    "           \n",
    "    print ('TEST:', \n",
    "           'Share Value 1 = ' + str(round((y[test_ind] == 1).sum() / float(len(y)), 3)), \n",
    "           'Share Value 2 = ' + str(round((y[test_ind] == 2).sum() / float(len(y)), 3)),\n",
    "           'Share Value 3 = ' + str(round((y[test_ind] == 3).sum() / float(len(y)), 3)),\n",
    "           end = '\\n\\n')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Для предотвращения переобучения используется [*регуляризация*](https://en.wikipedia.org/wiki/Regularization_(mathematics)). Она накладывает ограничение на сложность модели. В линейных алгоритмах регуляризатор - это штраф за слишком большие веса модели. \n",
    "\n",
    "Существует несколько видов регуляризации, самые распространенные из которых $L_{1}$ [(*lasso regression*)](https://en.wikipedia.org/wiki/Lasso_(statistics)) и $L_{2}$ [(*ridge regression*)](https://en.wikipedia.org/wiki/Tikhonov_regularization) регуляризации. \n",
    "\n",
    "В первом случае, функция ошибки перепишется следующим образом:\n",
    "\n",
    "$$\n",
    "Q_{L_{1}}(\\mathbf{w}, \\mathbf{X}) = Q(\\mathbf{w}, \\mathbf{X}) + \\lambda\\sum\\limits_{j = 1}^{m}|w_{j}| = \\lambda||\\mathbf{w}||_{L_{1}},\n",
    "$$\n",
    "\n",
    "а во втором \n",
    "\n",
    "$$\n",
    "Q_{L_{2}}(\\mathbf{w}, \\mathbf{X}) = Q(\\mathbf{w}, \\mathbf{X}) + \\lambda\\sum\\limits_{j = 1}^{m}w_{j}^{2} = \\lambda||\\mathbf{w}||_{L_{2}}^{2}.\n",
    "$$\n",
    "\n",
    "*Замечание.* Коэффициент сдвига **не входит** в регуляризатор. \n",
    "\n",
    "Коэффициент $\\lambda$ называется *коэффициентом регуляризации*. Чем больше $\\lambda$, тем проще будет модель. Очень большое $\\lambda$ приведет к тому, что все веса занулятся. В свою очередь использование очень маленького значения сведёт задачу оптимизации с регуляризатором к исходной задаче без него.   \n",
    "\n",
    "Коэффициент регуляризации является *гиперпараметром* модели. Гиперпараметры - это параметры, значения которых не оптимизируются в процессе построения модели. Они настраиваются заранее, а для того, чтобы подобрать оптимальные значения гиперпараметров, необходимо проводить многократное обучение модели на разных значениях таких параметров и выбирать оптимальное. \n",
    "\n",
    "Недостатком $L_{1}$ регуляризации явлется негладкость соответствующей нормы. При этом $L_{1}$ регуляризатор обладает одним интересным свойством: он позволяет занулить веса при незначимых признаках. \n",
    "\n",
    "В случае, если гиперпараметры настраиваются на кросс - валидации, может возникнуть проблема переобучения: значения гиперпараметров могут подогнаться под рассматриваемую выборку. В таком случае, нужно выделять часть выборки, которая не будет использоваться при валидации. На ней будет тестироваться качество полученной модели."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 9. Про метод максимального правдоподобия (для любителей формул)\n",
    "\n",
    "При первом чтении можно пропустить :)\n",
    "\n",
    "<details>\n",
    "  <summary> Развернуть </summary>\n",
    "Обозначим ошибку алгоритма $a$ на объекте $\\mathbf{x}_{i}$ через $\\varepsilon_{i}$. Тогда \n",
    "$$\n",
    "y_{i} = a(\\mathbf{x}_{i}) + \\varepsilon_{i}.\n",
    "$$\n",
    "\n",
    "В случае, если рассматриваемый алгоритм принадлежит классу линейных алгоритмов, то распределение ошибки удовлетворяет следующим условиям:\n",
    "- $\\mathbb{E}(\\varepsilon_{i}) = 0, \\quad i = \\overline{1, n}$;\n",
    "- $\\mathbb{D}(\\varepsilon_{1}) = \\mathbb{D}(\\varepsilon_{2}) = \\ldots = \\mathbb{D}(\\varepsilon_{n}) = \\sigma^{2} < \\infty$ ([*гомоскедастичность*](https://en.wikipedia.org/wiki/Homoscedasticity));\n",
    "- $Cov(\\varepsilon_{i}, \\varepsilon_{j}) = 0, \\quad i \\neq j, \\quad i, j = \\overline{1, n}$.\n",
    "\n",
    "**Определение.** Пусть случайная величина $X$ имеет распределение $\\mathbb{P}_{\\theta}(x)$, зависящее от некоторого неизвестного параметра $\\theta$. Через вектор $\\mathbf{X}^{n} = \\Big(X_{1}, \\ldots, X_{n}\\Big)$ - выборка из случайной величины $X$. Тогда *функцией правдоподия* называется функция вида\n",
    "\n",
    "$$\n",
    "\\begin{cases}\n",
    "L_{\\theta}(\\mathbf{X}^{n}) = \\prod\\limits_{i = 1}^{n}f_{\\theta}(X = X_{i}), \\quad \\text{в случае, если } \\mathbb{P}_{\\theta}(x) \\text{ - непрерывное распределение}\\\\\n",
    "L_{\\theta}(\\mathbf{X}^{n}) = \\prod\\limits_{i = 1}^{n}\\mathbb{P}_{\\theta}(X = X_{i}), \\quad \\text{в случае, если } \\mathbb{P}_{\\theta}(x) \\text{ - дискретное распределение}\n",
    "\\end{cases}\n",
    "$$\n",
    "\n",
    "[*Метод максимального правдоподобия (ММП)*](https://en.wikipedia.org/wiki/Maximum_likelihood_estimation) - это метод оценивания неизвестного параметра путем максимизации функции правдоподобия.\n",
    "\n",
    "Величина\n",
    "$$\n",
    "\\tilde{\\theta} = argmax_{\\theta}L_{\\theta}(\\mathbf{X}^{n})\n",
    "$$\n",
    "называется *оценкой максимального правдоподобия*. Данная величина обладает следующими свойствами:\n",
    "\n",
    "- **Инвариантность.** Если $\\tilde{\\theta}$ - оценка для $\\theta$, то $g(\\tilde{\\theta})$ - оценка для $g(\\theta)$.   \n",
    "- **Состоятельность.** Оценка $\\tilde{\\theta}$ сходится к истинному значению по вероятности \n",
    "$$\n",
    "\\lim_{n \\to \\infty}\\mathbb{P}\\Big(\\Big|\\tilde{\\theta}_{n} - \\theta\\Big| > \\varepsilon\\Big) = 0, \\quad \\forall \\varepsilon > 0.\n",
    "$$\n",
    "- **Асимптотическая нормальность.** Распределение величины $\\sqrt{n}\\Big(\\tilde\\theta_{n} - \\theta\\Big)$ сходится к нормальному $\\mathcal{N}\\Big(0, \\mathbf{I}_{\\infty}^{-1}(\\theta)\\Big)$, где \n",
    "\n",
    "$$\n",
    "\\mathbf{I}_{\\infty}^{-1}(\\theta) = -\\lim_{n \\to \\infty}\\frac{1}{n}\\mathbb{E}(\\mathbb{H}), \\quad \\mathbb{H} = \\frac{\\partial^{2}\\ln{L_{\\theta}(\\mathbf{X}^{n})}}{\\partial\\theta \\partial\\theta^{\\top}}.\n",
    "$$  \n",
    "\n",
    "Для лучшего понимания метода максимального правдоподобия рассмотрим следующий пример:\n",
    "\n",
    "Пусть в $n_{1} = 100$ независимых испытаниях вакцины против коронавируса антитела выработались у $m_{1} = 75$ человек и в $n_{2} = 200$ независимых испытаниях вакцины против коронавируса антитела выработались у $m_{2} = 120$ человек. Используя ММП необходимо оценить вероятность наступления благоприятного исхода.\n",
    "\n",
    "Очевидно, что мы имеем дело с биномиальным распределением. Составим функцию правдоподобия:\n",
    "\n",
    "$$\n",
    "L = \\mathbb{P}(m_{1}, n_{1}) \\cdot \\mathbb{P}(m_{2}, n_{2}) = C_{n_{1}}^{m_{1}}\\cdot C_{n_{2}}^{m_{2}}\\cdot p^{m_{1} + m_{2}}(1 - p)^{n_{1} + n_{2} - m_{1} - m_{2}}.\n",
    "$$\n",
    "\n",
    "Перейдем к логарифмической функции правдоподобия:\n",
    "\n",
    "$$\n",
    "\\ln{L} = \\ln{\\Big(C_{n_{1}}^{m_{1}}\\cdot C_{n_{2}}^{m_{2}}\\Big)} + (m_{1} + m_{2})\\cdot\\ln{p} + (n_{1} + n_{2} - m_{1} - m_{2})\\cdot\\ln{(1 - p)}.\n",
    "$$\n",
    "\n",
    "Далее вычислив производную логарифма правдоподобия по $p$ и приравняв ее нулю, получим окончательное выражение для оценки максимального правдоподобия вероятности $p$:\n",
    "\n",
    "$$\n",
    "p = \\frac{m_{1} + m_{2}}{n_{1} + n_{2}} = \\frac{75 + 120}{100 + 200} = \\frac{195}{300} = 0.65.\n",
    "$$\n",
    "\n",
    "**Утверждение** Если ошибка распределена нормально: \n",
    "\n",
    "$$\n",
    "\\varepsilon_{i} \\sim \\mathcal{N}(0, \\sigma^{2}),\n",
    "$$\n",
    "\n",
    "то оценка, полученная с помощью МНК, совпадает с оценкой, полученной с помощью ММП. \n",
    "\n",
    "**Доказательство:** Мы знаем, что если $z \\sim \\mathcal{N}\\Big(\\mu, \\sigma^{2}\\Big)$, то $(az + b) \\sim \\mathcal{N}\\Big(\\mu + b, \\sigma^{2}a^{2}\\Big)$. Поэтому,\n",
    "\n",
    "$$\n",
    "y_{i} = \\sum\\limits_{j = 0}^{m}w_{j}x_{i}^{j} + \\varepsilon_{i} \\sim \\mathcal{N}\\Bigg(\\sum\\limits_{j = 0}^{m}w_{j}x_{i}^{j}, \\sigma^{2}\\Bigg).\n",
    "$$\n",
    "\n",
    "Следовательно,\n",
    "\n",
    "$$\n",
    "L_{w}(\\mathbf{X}) = \\prod_{i = 1}^{n}f_{w}(X = \\mathbf{x}_{i}) = \\prod_{i = 1}^{n}\\frac{1}{\\sqrt{2\\pi\\sigma^{2}}}\\exp{\\Bigg(-\\frac{\\Big(y_{i} - \\sum\\limits_{j = 0}^{m}w_{j}x_{i}^{j}\\Big)^{2}}{2\\sigma^{2}}}\\Bigg).\n",
    "$$\n",
    "\n",
    "Для удобства, перейдем к логарифмической функции правдоподобия\n",
    "$$\n",
    "\\ln{\\Big(L_{w}(\\mathbf{X})\\Big)} = \\ln{\\prod_{i = 1}^{n}\\frac{1}{\\sqrt{2\\pi\\sigma^{2}}}\\exp{\\Bigg(-\\frac{\\Big(y_{i} - \\sum\\limits_{j = 0}^{m}w_{j}x_{i}^{j}\\Big)^{2}}{2\\sigma^{2}}}\\Bigg)} = \\\\ =\\sum\\limits_{i = 1}^{n}\\ln{\\frac{1}{\\sqrt{2\\pi\\sigma^{2}}}\\exp{\\Bigg(-\\frac{\\Big(y_{i} - \\sum\\limits_{j = 0}^{m}w_{j}x_{i}^{j}\\Big)^{2}}{2\\sigma^{2}}}\\Bigg)} = \\\\ = \\sum\\limits_{i = 1}^{n}\\Bigg[\\ln{\\Big(2\\pi\\sigma^{2}\\Big)^{-\\frac{1}{2}}} + \\ln{\\exp{\\Bigg(-\\frac{\\Big(y_{i} - \\sum\\limits_{j = 0}^{m}w_{j}x_{i}^{j}\\Big)^{2}}{2\\sigma^{2}}}}\\Bigg)\\Bigg] = \\\\ = -\\frac{n}{2}\\ln{\\Big(2\\pi\\sigma^{2}\\Big)} - \\frac{1}{2\\sigma^{2}}\\sum\\limits_{i = 1}^{n}\\Big(y_{i} - \\sum\\limits_{j = 0}^{m}w_{j}x_{i}^{j}\\Big)^{2}.\n",
    "$$\n",
    "\n",
    "Поскольку первое слагаемое в данном уравнении не содержит неизвестных $w_{i}$, то для максимизации правдоподобия, необходимо минимизировать второе слагаемое, а это и есть среднеквадратическая ошибка.   $\\blacksquare$\n",
    "\n",
    "\n",
    "**Утверждение** Если ошибка имеет распределение Лапласа: \n",
    "\n",
    "$$\n",
    "\\varepsilon_{i} \\sim \\mathcal{L}\\Big(0, \\frac{2}{\\sigma^{2}}\\Big),\n",
    "$$\n",
    "\n",
    "то оценка, полученная с помощью ММП совпадает с оценкой, полученной минимизацией абсолютной функции потерь. \n",
    "\n",
    "**Доказательство:** Аналогично предыдущему утверждению можно получить, что\n",
    "\n",
    "$$\n",
    "y_{i} = \\sum\\limits_{j = 0}^{m}w_{j}x_{i}^{j} + \\varepsilon_{i} \\sim \\mathcal{L}\\Bigg(\\sum\\limits_{j = 0}^{m}w_{j}x_{i}^{j}, \\frac{2}{\\sigma^{2}}\\Bigg).\n",
    "$$\n",
    "\n",
    "Следовательно,\n",
    "\n",
    "$$\n",
    "L_{w}(\\mathbf{X}) = \\prod_{i = 1}^{n}f_{w}(X = \\mathbf{x}_{i}) = \\prod_{i = 1}^{n}\\frac{\\sigma}{2}\\exp{\\Bigg(-\\sigma\\Big|y_{i} - \\sum\\limits_{j = 0}^{m}w_{j}x_{i}^{j}\\Big|}\\Bigg).\n",
    "$$\n",
    "\n",
    "После перехода к логарифмической функции правдоподобия, получим\n",
    "\n",
    "$$\n",
    "\\ln{\\Big(L_{w}(\\mathbf{X})\\Big)} = \\ln{\\prod_{i = 1}^{n}\\frac{\\sigma}{2}\\exp{\\Bigg(-\\sigma\\Big|y_{i} - \\sum\\limits_{j = 0}^{m}w_{j}x_{i}^{j}\\Big|}\\Bigg)} = \\\\ = n\\ln{\\frac{\\sigma}{2}} - \\sum\\limits_{i = 1}^{n}\\Big|y_{i} - \\sigma\\sum\\limits_{j = 0}^{m}w_{j}x_{i}^{j}\\Big|.  \\blacksquare\n",
    "$$\n",
    "\n",
    "<details>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Практика\n",
    "\n",
    "### Построение модели: основные этапы\n",
    "\n",
    "Построим модель, которая по полу, возрасту клиента, доходу и марке автомобиля предсказывает стоимость авто и посмотрим какие проблемы могут возникнуть в ходу построения. \n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Income</th>\n",
       "      <th>Car cost</th>\n",
       "      <th>Car maker</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Female</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>17200.0</td>\n",
       "      <td>AUDI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Male</td>\n",
       "      <td>25.0</td>\n",
       "      <td>560.0</td>\n",
       "      <td>17600.0</td>\n",
       "      <td>AUDI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Male</td>\n",
       "      <td>33.0</td>\n",
       "      <td>1270.0</td>\n",
       "      <td>20100.0</td>\n",
       "      <td>BMW</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Female</td>\n",
       "      <td>38.0</td>\n",
       "      <td>470.0</td>\n",
       "      <td>8400.0</td>\n",
       "      <td>MAZDA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Female</td>\n",
       "      <td>31.0</td>\n",
       "      <td>340.0</td>\n",
       "      <td>4400.0</td>\n",
       "      <td>LADA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Gender   Age  Income  Car cost Car maker\n",
       "0  Female  52.0  1000.0   17200.0      AUDI\n",
       "1    Male  25.0   560.0   17600.0      AUDI\n",
       "2    Male  33.0  1270.0   20100.0       BMW\n",
       "3  Female  38.0   470.0    8400.0     MAZDA\n",
       "4  Female  31.0   340.0    4400.0      LADA"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "#Читаем данные и выводим первые пять строк на экран\n",
    "data = pd.read_csv('../datasets/auto.csv', sep = ',')\n",
    "data.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2000 entries, 0 to 1999\n",
      "Data columns (total 5 columns):\n",
      " #   Column     Non-Null Count  Dtype  \n",
      "---  ------     --------------  -----  \n",
      " 0   Gender     2000 non-null   object \n",
      " 1   Age        1978 non-null   float64\n",
      " 2   Income     1986 non-null   float64\n",
      " 3   Car cost   2000 non-null   float64\n",
      " 4   Car maker  2000 non-null   object \n",
      "dtypes: float64(3), object(2)\n",
      "memory usage: 78.2+ KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Типы признаков и проблемы, которые могут с ними возникать\n",
    "1. **Вещественные** (доход, сумма долга, возраст, стаж работы и т.п.);  \n",
    "2. **Бинарные** (пол, наличие успешных коммуникаций с клиентом, наличие автомобиля и т.п.);\n",
    "3. **Категориальные (номинальные)** (город проживания, марка автомобиля, группа крови и т.п.)\n",
    "4. **Категориальные (порядковые)** (образование, стадия болезни, уровень просрочки  и т.п.)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Преобразование текстовых данных и кодирование категориальных переменных:\n",
    "\n",
    "Линейные модели не умеют работать с текстовыми данными. Перед тем как строить модель, такую информацию необходимо оцифровать. \n",
    "\n",
    "В нашем случае, таких признака два: пол (бинарный признак) и марка автомобиля (категориальный номинальные)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Female', 'Male'], dtype=object)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Gender'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['AUDI', 'BMW', 'MAZDA', 'LADA', 'OPEL'], dtype=object)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Car maker'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Income</th>\n",
       "      <th>Car cost</th>\n",
       "      <th>Car maker</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>17200.0</td>\n",
       "      <td>AUDI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>560.0</td>\n",
       "      <td>17600.0</td>\n",
       "      <td>AUDI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>1270.0</td>\n",
       "      <td>20100.0</td>\n",
       "      <td>BMW</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>38.0</td>\n",
       "      <td>470.0</td>\n",
       "      <td>8400.0</td>\n",
       "      <td>MAZDA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>31.0</td>\n",
       "      <td>340.0</td>\n",
       "      <td>4400.0</td>\n",
       "      <td>LADA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Gender   Age  Income  Car cost Car maker\n",
       "0       1  52.0  1000.0   17200.0      AUDI\n",
       "1       0  25.0   560.0   17600.0      AUDI\n",
       "2       0  33.0  1270.0   20100.0       BMW\n",
       "3       1  38.0   470.0    8400.0     MAZDA\n",
       "4       1  31.0   340.0    4400.0      LADA"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Заменяем пол на бинарный признак\n",
    "data.Gender.replace(['Male', 'Female'], [0, 1], inplace = True)\n",
    "data.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 0], dtype=int64)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Gender'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Признак **\"Марка автомобиля\"** является категориальным. Перед тем, как оцифровывать его, давайте подумаем: достаточно ли будет перейти от вектора значений \n",
    "\n",
    "$$\n",
    "\\begin{bmatrix}\n",
    "    \\text{AUDI},&\\text{BMW},&\\text{MAZDA},&\\text{LADA},&\\text{OPEL}\n",
    "\\end{bmatrix}$$\n",
    "к вектору \n",
    "$$\n",
    "\\begin{bmatrix} \n",
    "    0,&1,&2,&3,&4\n",
    "\\end{bmatrix}.\n",
    "$$\n",
    "\n",
    "Очевидно, что **нет**, поскольку значения номинального признака не сравнимы друг с другом, а в случае с порядковыми признаками, мы можем сказать какое из значений лучше, но при этом не можем сказать на сколько. Для решения данной проблемы существует несколько подходов: \n",
    "\n",
    "- *One Hot кодирование* или *dummy кодирование* - создаются $N - 1$ бинарных признаков, где $N$ - число уникальных значений категориальной переменной. Данные бинарные признаки являются индикаторными функциями для значений категориального признака. *One Hot кодирование* позволяет сделать так, чтобы каждому уникальному значению категориального признака соответствовал свой коэффициент $w_{i}$. Это позволит нам не сравнивать категориальные значения одного и того же признака между собой. \n",
    "   \n",
    "   Недостатком *One Hot кодирования* является создание большого числа новых признаков при большом количестве уникальных значений категориального признака. \n",
    "   \n",
    "   \n",
    "- Одним из вариантов решения данной проблемы является замена значений категориального признака на среднее значение целевой переменной по данной категории:\n",
    "   \n",
    "   $$\n",
    "   \\tilde{x}_{j}^{i} = \\frac{\\sum\\limits_{k = 1}^{n}y_{k} \\cdot \\mathbf{I}_{[x_{j}^{k} = x_{j}^{i}]}}{\\sum\\limits_{k = 1}^{n}\\mathbf{I}_{[x_{j}^{k} = x_{j}^{i}]}},\n",
    "   $$\n",
    "где $x_{j}^{k}$ - значение $j$ - го признака (который является категориальным) на $k$ - ом объекте. \n",
    "\n",
    "\n",
    "В нашем случае, признак **\"Car maker\"** принимает всего 5 уникальных значений, поэтому можем воспользоваться методом *One Hot кодирования*. \n",
    "\n",
    "В библиотеке `sklearn` для реализации *One-Hot кодирования* существует класс [`OneHotEncoder`](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html).  Кроме того, у pandas dataframe существует метод [`get_dummies()`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.get_dummies.html) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Income</th>\n",
       "      <th>Car cost</th>\n",
       "      <th>Car maker_AUDI</th>\n",
       "      <th>Car maker_BMW</th>\n",
       "      <th>Car maker_LADA</th>\n",
       "      <th>Car maker_MAZDA</th>\n",
       "      <th>Car maker_OPEL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>17200.0</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>560.0</td>\n",
       "      <td>17600.0</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>1270.0</td>\n",
       "      <td>20100.0</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>38.0</td>\n",
       "      <td>470.0</td>\n",
       "      <td>8400.0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>31.0</td>\n",
       "      <td>340.0</td>\n",
       "      <td>4400.0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Gender   Age  Income  Car cost  Car maker_AUDI  Car maker_BMW   \n",
       "0       1  52.0  1000.0   17200.0            True          False  \\\n",
       "1       0  25.0   560.0   17600.0            True          False   \n",
       "2       0  33.0  1270.0   20100.0           False           True   \n",
       "3       1  38.0   470.0    8400.0           False          False   \n",
       "4       1  31.0   340.0    4400.0           False          False   \n",
       "\n",
       "   Car maker_LADA  Car maker_MAZDA  Car maker_OPEL  \n",
       "0           False            False           False  \n",
       "1           False            False           False  \n",
       "2           False            False           False  \n",
       "3           False             True           False  \n",
       "4            True            False           False  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.get_dummies(data, \n",
    "                                  prefix = ['Car maker'], \n",
    "                                  columns = ['Car maker'], \n",
    "                                  #dummy_na = True,       \n",
    "                                  drop_first = False)\n",
    "\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2000 entries, 0 to 1999\n",
      "Data columns (total 9 columns):\n",
      " #   Column           Non-Null Count  Dtype  \n",
      "---  ------           --------------  -----  \n",
      " 0   Gender           2000 non-null   int64  \n",
      " 1   Age              1978 non-null   float64\n",
      " 2   Income           1986 non-null   float64\n",
      " 3   Car cost         2000 non-null   float64\n",
      " 4   Car maker_AUDI   2000 non-null   bool   \n",
      " 5   Car maker_BMW    2000 non-null   bool   \n",
      " 6   Car maker_LADA   2000 non-null   bool   \n",
      " 7   Car maker_MAZDA  2000 non-null   bool   \n",
      " 8   Car maker_OPEL   2000 non-null   bool   \n",
      "dtypes: bool(5), float64(3), int64(1)\n",
      "memory usage: 72.4 KB\n"
     ]
    }
   ],
   "source": [
    "# Проверим, что остались только числовые признаки\n",
    "data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Замена пропусков в данных\n",
    "\n",
    "Зачастую бывает так, что часть данных отсутствует. Например, в результате потери данных или просто потому, что по части объектов их не удалось собрать. Существует несколько способов решения данной проблемы:\n",
    "\n",
    " \n",
    "1. **Вещественный признак**:\n",
    " - **Заменить пропущенное значение константой, подходящей по смыслу.** \n",
    " \n",
    " Например, если мы рассмотрим признак \"Доля кредитов наличными с досрочным погашением\", то пропуск мог появиться в результате деления на 0. Его можно заменить нулем. Недостаток такого подхода заключается в том, что клиентов, у которых никогда не было кредита наличными, мы приравниваем к клиентам, у которых он был, но не было досрочного погашения.\n",
    " \n",
    "Для заполнения константами можно использовать метод датафрейма [`fillna()`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.fillna.html). \n",
    " \n",
    " - **Взять вместо отсутствующих данных среднее, медиану или моду по имеющимся значениям.**\n",
    " \n",
    " Например, доход клиента можно заменить средним по группе клиентов, схожих с данным. Группировку можно рассмотреть по региону проживания или сфере деятельности. Недостаток такого метода состоит в возможной потере информации: например, у нас не было данных потому, что клиент был безработным.  \n",
    " \n",
    " \n",
    " - **Сгенирировать случайное значение из распределения, полученного на основе существующих значений.** \n",
    " \n",
    " Здесь из минусов опять же потеря информации, а также то, что для разных наблюдений будет разной и замена.\n",
    " \n",
    " \n",
    " - **Использовать еще одну вспомогательную модель для предсказания данного пропуска.** \n",
    " \n",
    " Данный подход является довольно трудозатратным и также не спасет от потери информации.\n",
    " \n",
    " \n",
    " - **Замена пропуска константой и добавление dummy переменной, несущей информации об отсутствии данных.** \n",
    " \n",
    " Такой подход может сократить потери информации, однако, в случае большого числа признаков с пропусками данных, породит большое число новых признаков, что увеличит объем занимаемой памяти, а также время обучения. Кроме того, никто не гарантирует, что соответствующая dummy переменная, в конечном итоге, попадет в итоговую модель.\n",
    " \n",
    "\n",
    "2. **Категориальные данные.**\n",
    " - **Заменить пропущенное значение наиболее распространенной категорией или медианной.**\n",
    " \n",
    " Например, в случае, если не проставлена марка автомобиля, можно разбить данные на несколько групп в зависимости от стоимости авто и заменить пропуск наиболее часто встречающейся маркой в каждой из полученных групп.\n",
    " \n",
    " - **Заменить пропущенное значение новой категорией.**\n",
    "\n",
    "\n",
    "Еще один из методов решения проблемы отсутствия данных - **удаление строк с пропусками**. Недостаток данного подхода заключается в потере большого количества информации. Для удаления всех наблюдений, в которых присутствуют пропуски, можно воспользоваться методом датафрейма [`dropna()`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.dropna.html)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Gender              0\n",
       "Age                22\n",
       "Income             14\n",
       "Car cost            0\n",
       "Car maker_AUDI      0\n",
       "Car maker_BMW       0\n",
       "Car maker_LADA      0\n",
       "Car maker_MAZDA     0\n",
       "Car maker_OPEL      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Заменяем пропуски в \"Возрасте\" на среднее значение\n",
    "data['Age'].fillna(round(data['Age'].mean()), inplace = True)\n",
    "\n",
    "#Пропуски в доходе заменяем средним по группе марки автомобиля\n",
    "for i in data.columns:\n",
    "    if i.startswith('Car maker'):\n",
    "        data['Income'].fillna(data['Income'][data[i] == 1].mean(), inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Gender             0\n",
       "Age                0\n",
       "Income             0\n",
       "Car cost           0\n",
       "Car maker_AUDI     0\n",
       "Car maker_BMW      0\n",
       "Car maker_LADA     0\n",
       "Car maker_MAZDA    0\n",
       "Car maker_OPEL     0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Для заполнения пропусков средним, медианой или модой можно воспользоваться классом [`SimpleImputer`](https://scikit-learn.org/stable/modules/generated/sklearn.impute.SimpleImputer.html) из библиотеки `sklearn.impute`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.impute import SimpleImputer\n",
    "\n",
    "test_data = pd.DataFrame({'Age': [20, 25, np.NaN, np.NaN, 35, 30, 45, 25]})\n",
    "\n",
    "imp_mean = SimpleImputer(strategy = \"mean\")\n",
    "test_data['Age_mean'] = pd.DataFrame(data = imp_mean.fit_transform(test_data), \n",
    "                                     columns = test_data.columns)\n",
    "\n",
    "imp_mode = SimpleImputer(strategy = \"most_frequent\")\n",
    "test_data['Age_mode'] = pd.DataFrame(data = imp_mode.fit_transform(test_data[['Age']]), \n",
    "                                     columns = test_data[['Age']].columns)\n",
    "\n",
    "imp_median = SimpleImputer(strategy = \"median\")\n",
    "test_data['Age_median'] = pd.DataFrame(data = imp_median.fit_transform(test_data[['Age']]), \n",
    "                                     columns = test_data[['Age']].columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>Age_mean</th>\n",
       "      <th>Age_mode</th>\n",
       "      <th>Age_median</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>20.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>27.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>27.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>35.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>30.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>45.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>45.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Age  Age_mean  Age_mode  Age_median\n",
       "0  20.0      20.0      20.0        20.0\n",
       "1  25.0      25.0      25.0        25.0\n",
       "2   NaN      30.0      25.0        27.5\n",
       "3   NaN      30.0      25.0        27.5\n",
       "4  35.0      35.0      35.0        35.0\n",
       "5  30.0      30.0      30.0        30.0\n",
       "6  45.0      45.0      45.0        45.0\n",
       "7  25.0      25.0      25.0        25.0"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Mean = 30.0\n",
      " Median = 27.5\n",
      " Mode = 25.0\n"
     ]
    }
   ],
   "source": [
    "print(' Mean = {s[0]}\\n Median = {s[1]}\\n Mode = {s[2]}'\\\n",
    "      .format(s = [test_data['Age'].mean(), \n",
    "                   test_data['Age'].median(), \n",
    "                   test_data['Age'].value_counts().index[0]\n",
    "                  ]\n",
    "             )\n",
    "     )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Наличие выбросов в данных\n",
    "\n",
    "В данных могут присутствовать выбросы, т.е. значения признака сильно отличающиеся отличающиеся от других. Выбросы могут принимать либо очень маленькие значения, либо наоборот - очень большие. Как мы обсуждали ранее, средняя квадратическая ошибка не устойчива к таким наблюдениям и подгоняется под них. Существет несколько способов отыскания выбросов. Мы рассмотрим два из них: гистограмма распределения и интерквартильный размах. \n",
    "\n",
    "Для построения гистограммы можно воспользоваться методом датафрейма [`hist()`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.hist.html). Данный график довольно прост в понимании.\n",
    "\n",
    "Для визуализации интерквартильного размаха можно воспользоваться функцией [`boxplot()`](https://seaborn.pydata.org/generated/seaborn.boxplot.html) из библиотеки `seaborn`. `boxplot()` - это коробка с усами и точками. Длина коробки равна интерквартильному размаху, то есть разности квартилей 0.25($Q_{1}$) и 0.75($Q_{3}$). Линия внутри коробки - медиана распределения. Усы коробки соответствуют значениям \n",
    "\n",
    "$$\n",
    "Q_{1} - 1.5\\times IQR\n",
    "$$ \n",
    "и \n",
    "$$\n",
    "Q_{3} + 1.5\\times IQR.\n",
    "$$\n",
    "\n",
    "В результате мы получаем, что внутри интервала, ограниченного усами, лежит более 99.3% выборки. Все, что лежит за усами (обозначено точками) - это выбросы. \n",
    "\n",
    "<img src=\"https://www.simplypsychology.org/boxplot-outliers.png\">\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Исследуем непрерывные признаки, а также Target на наличие выбросов "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Посмотрим на распределение таргета"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<Axes: title={'center': 'Car cost'}>]], dtype=object)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.hist(\"Car cost\", edgecolor = 'black', linewidth = 2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Из гистограммы видно, что присутствуют довольно маленькие значения стоимости авто. Построим boxplot и убедимся в наличии выбросов"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'Стоимость')]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "sns.boxplot(x = data['Car cost'], orient = \"h\").set(xlabel = u'Стоимость')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Boxplot подтверждает наличие выбросов слева. Удалим соответствующие записи, предварительно рассчитав нижнюю и верхнюю квартили, а также интерквартилльный размах "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Q1 = 11700.0\n",
      "Q3 = 18125.0\n",
      "IQR = 6425.0\n",
      "Q1 - 1.5 IQR = 2062.5\n",
      "Q3 + 1.5 IQR = 27762.5\n"
     ]
    }
   ],
   "source": [
    "def get_Q1_Q3_IDR(data, perem):\n",
    "    Q1 = data[perem].quantile(0.25)\n",
    "    Q3 = data[perem].quantile(0.75)\n",
    "    IQR = Q3 - Q1\n",
    "    Q1_IQR = Q1 - 1.5 * IQR\n",
    "    Q3_IQR = Q3 + 1.5 * IQR\n",
    "\n",
    "    print(\"Q1 = {s[0]}\\n\\\n",
    "Q3 = {s[1]}\\n\\\n",
    "IQR = {s[2]}\\n\\\n",
    "Q1 - 1.5 IQR = {s[3]}\\n\\\n",
    "Q3 + 1.5 IQR = {s[4]}\".format(s = [Q1, Q3, IQR, Q1_IQR, Q3_IQR]))\n",
    "    \n",
    "    return (Q1_IQR, Q3_IQR)\n",
    "\n",
    "Q1_IQR, Q3_IQR = get_Q1_Q3_IDR(data, 'Car cost')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "def del_outliers(data, left, right, perem):\n",
    "    return data[(data[perem] > left) & (data[perem] < right)]\n",
    "    \n",
    "data = del_outliers(data, Q1_IQR, Q3_IQR, 'Car cost')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 1988 entries, 0 to 1999\n",
      "Data columns (total 9 columns):\n",
      " #   Column           Non-Null Count  Dtype  \n",
      "---  ------           --------------  -----  \n",
      " 0   Gender           1988 non-null   int64  \n",
      " 1   Age              1988 non-null   float64\n",
      " 2   Income           1988 non-null   float64\n",
      " 3   Car cost         1988 non-null   float64\n",
      " 4   Car maker_AUDI   1988 non-null   bool   \n",
      " 5   Car maker_BMW    1988 non-null   bool   \n",
      " 6   Car maker_LADA   1988 non-null   bool   \n",
      " 7   Car maker_MAZDA  1988 non-null   bool   \n",
      " 8   Car maker_OPEL   1988 non-null   bool   \n",
      "dtypes: bool(5), float64(3), int64(1)\n",
      "memory usage: 87.4 KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Посмотрим на распределение возраста"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<Axes: title={'center': 'Age'}>]], dtype=object)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.hist(\"Age\", edgecolor = 'black', linewidth = 2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Как видно из гистограммы, выбросов в данном признаке не наблюдается. Это подтверждает и boxplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'Возраст')]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x = data['Age'], orient = \"h\").set(xlabel = u'Возраст')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Посмотрим на распределение дохода"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<Axes: title={'center': 'Income'}>]], dtype=object)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.hist(\"Income\", edgecolor = 'black', linewidth = 2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Как видно из графиков, здесь так же не наблюдается выбросов"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'Доход')]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x = data['Income'], orient = \"h\").set(xlabel = u'Доход')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Стандартизация или нормализация признаков\n",
    "\n",
    "Часто бывает, что признаки измеряются в разных масштабах. Например, возраст практически всегда не превышает 100, в то время как доход измереятся в десятках и сотнях тысячах. В таких случаях данные должны быть приведены к одному масштабу. Иначе может возникнуть ряд проблем:\n",
    "\n",
    "- Градиентный метод может сходиться гораздо дольше или не сойтись вовсе;\n",
    "- Модель может подстроиться под такие признаки, поскольку они будут влиять на ошибку сильнее. В результате чего произойдет переобучение (о том, что это такое и как с этим бороться будет написано ниже);\n",
    "- Проинтерпретировать результаты моделирования гораздо сложнее, поскольку веса будут иметь также разный масштаб;\n",
    "\n",
    "Наиболее распространенными методами решения данной проблемы являются *минимаксная нормализация*: \n",
    "   \n",
    "   $$\n",
    "   \\tilde{x}_{i}^{j} = \\frac{x_{i}^{j} - \\min_{i}x_{i}^{j}}{\\max_{i}x_{i}^{j} - \\min_{i}x_{i}^{j}}, \\quad i = \\overline{1, n}, j = \\overline{1, m},\n",
    "   $$\n",
    "   \n",
    "и стандартизация признака:\n",
    "   \n",
    "   $$\n",
    "   \\tilde{x}_{i}^{j} = \\frac{x_{i}^{j} - \\bar{x}^{j}}{S_{j}},\n",
    "   $$\n",
    "   где $\\bar{x}^{j}$ - выборочное среднее $j$ - го признака, $S_{j}$ - выборочная дисперсия $j$ - го признака.\n",
    "   \n",
    "Оба этих метода реализованы в библиотеке `sklearn`. Для использования первого необходимо использовать объект [`MinMaxScaler`](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html). Если же мы хотим стандартизировать признаки, то нам понадобится объект [`StandardScaler`](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Проиллюстрируем проблему сходимости градиентного спуска на примере функций вида\n",
    "\n",
    "$$\n",
    "ax^{2} + by^{2}.\n",
    "$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "countIterList = []\n",
    "pointList = []\n",
    "eta = 0.1\n",
    "\n",
    "coef_point = np.array([[1, 1], [1, 2], [1, 5], [1, 10]])\n",
    "\n",
    "for coef in coef_point:\n",
    "    \n",
    "    prevPoint = np.array([-5, -5])\n",
    "    curPoint = np.array([-4, -4])   \n",
    "    curPointList = [curPoint]\n",
    "    count_iter = 0\n",
    "    dist = 1\n",
    "    \n",
    "    # шаги метода\n",
    "    while (dist >= 1e-8) and count_iter <= 1e5:\n",
    "        prevPoint = curPoint\n",
    "        curPoint = prevPoint - 2 * eta * np.array(coef) * prevPoint\n",
    "        count_iter += 1\n",
    "        curPointList.append(curPoint)\n",
    "\n",
    "        dist = np.linalg.norm(curPoint - prevPoint, ord = 2)\n",
    "\n",
    "    countIterList.append(count_iter)\n",
    "    pointList.append(np.array(curPointList))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x2000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.linspace(-6, 6, 100)\n",
    "y = np.linspace(-5, 5, 100)\n",
    "xx, yy = np.meshgrid(x, y)\n",
    "\n",
    "fig = plt.figure(figsize = (20, 20))\n",
    "\n",
    "ind = 1\n",
    "for coef, countIter in zip(coef_point, countIterList):\n",
    "    \n",
    "    ax = fig.add_subplot(2, 2, ind, projection = '3d')\n",
    "    ax.plot_surface(xx, yy, coef[0] * xx**2 + coef[1] * yy**2, color = 'blue', linewidth = 3, alpha = 0.3)\n",
    "    \n",
    "    ax.plot3D(pointList[ind - 1][:, 0], pointList[ind - 1][:, 1], \n",
    "              coef[0] * pointList[ind - 1][:, 0]**2 + coef[1] * pointList[ind - 1][:, 1]**2,\n",
    "              color = 'red', linewidth = 3)\n",
    "    \n",
    "    ax.view_init(10, 0)\n",
    "    \n",
    "    ax.set_title(r'Визуализация метода градиентного спуска для функции $z = {s[0]}x^2 + {s[1]}y^2$.'\\\n",
    "                 .format(s = [coef[0], coef[1]]) + '\\nКоличество итераций = {s[0]}'.format(s = [countIter - 1]))\n",
    "    \n",
    "    ind += 1\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Уже при соотношении коэффициентов 1 : 10 метод перестает сходиться."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Income</th>\n",
       "      <th>Car cost</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1988.000000</td>\n",
       "      <td>1988.000000</td>\n",
       "      <td>1988.000000</td>\n",
       "      <td>1988.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.497485</td>\n",
       "      <td>40.034205</td>\n",
       "      <td>1099.689162</td>\n",
       "      <td>14793.863179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.500119</td>\n",
       "      <td>8.764999</td>\n",
       "      <td>518.708365</td>\n",
       "      <td>4648.157426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>2100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>640.000000</td>\n",
       "      <td>11775.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>1110.000000</td>\n",
       "      <td>15200.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>1540.000000</td>\n",
       "      <td>18200.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>2000.000000</td>\n",
       "      <td>24900.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Gender          Age       Income      Car cost\n",
       "count  1988.000000  1988.000000  1988.000000   1988.000000\n",
       "mean      0.497485    40.034205  1099.689162  14793.863179\n",
       "std       0.500119     8.764999   518.708365   4648.157426\n",
       "min       0.000000    25.000000   200.000000   2100.000000\n",
       "25%       0.000000    33.000000   640.000000  11775.000000\n",
       "50%       0.000000    40.000000  1110.000000  15200.000000\n",
       "75%       1.000000    48.000000  1540.000000  18200.000000\n",
       "max       1.000000    55.000000  2000.000000  24900.000000"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gender</th>\n",
       "      <th>Car cost</th>\n",
       "      <th>Car maker_AUDI</th>\n",
       "      <th>Car maker_BMW</th>\n",
       "      <th>Car maker_LADA</th>\n",
       "      <th>Car maker_MAZDA</th>\n",
       "      <th>Car maker_OPEL</th>\n",
       "      <th>Age</th>\n",
       "      <th>Income</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>17200.0</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1.365523</td>\n",
       "      <td>-0.192236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>17600.0</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>-1.715686</td>\n",
       "      <td>-1.040710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>20100.0</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>-0.802735</td>\n",
       "      <td>0.328419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>8400.0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>-0.232141</td>\n",
       "      <td>-1.214261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>4400.0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>-1.030973</td>\n",
       "      <td>-1.464947</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Gender  Car cost  Car maker_AUDI  Car maker_BMW  Car maker_LADA   \n",
       "0       1   17200.0            True          False           False  \\\n",
       "1       0   17600.0            True          False           False   \n",
       "2       0   20100.0           False           True           False   \n",
       "3       1    8400.0           False          False           False   \n",
       "4       1    4400.0           False          False            True   \n",
       "\n",
       "   Car maker_MAZDA  Car maker_OPEL       Age    Income  \n",
       "0            False           False  1.365523 -0.192236  \n",
       "1            False           False -1.715686 -1.040710  \n",
       "2            False           False -0.802735  0.328419  \n",
       "3             True           False -0.232141 -1.214261  \n",
       "4            False           False -1.030973 -1.464947  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Масштабы непрерывных признаков (Возраст и доход) сильно отличаются.\n",
    "#Проведем стандартизацию данных признаков\n",
    "\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "scaled_features = StandardScaler().fit_transform(data[['Age', 'Income']].values)\n",
    "scaled_features_df = pd.DataFrame(scaled_features, index = data.index, columns = data[['Age', 'Income']].columns)\n",
    "data = data.drop(['Age', 'Income'], axis = 1).merge(scaled_features_df, left_index = True, right_index = True, how = 'left')\n",
    "\n",
    "# То же самое можно было бы сделать так\n",
    "#data['Age_st'] = (data.Age - data.Age.mean()) / data.Age.std()\n",
    "#data['Income_st'] = (data.Income - data.Income.mean()) / data.Income.std()\n",
    "\n",
    "data.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Оценка влияния предикторов на целевую переменную"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Взаимосвязь таргета с доходом"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Dependence of the Target on Income'}, xlabel='Car cost', ylabel='Income'>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.plot(x = 'Car cost', y = 'Income', kind = 'scatter', title = 'Dependence of the Target on Income')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Видно, что стоимость автомобиля сильно зависит от дохода. Позже будет показано, что коэффициент корреляции между этими признаками довольно большой.\n",
    "\n",
    "Кроме того, можно увидеть наличие двух выбросов. Убедимся в этом, построив \"ящик с усами\" и избавимся от них."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Dependence of the Target on Income'}, xlabel='Car cost', ylabel='Income'>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[(data['Car cost'] >= 5000) & (data['Car cost'] <= 6500)].\\\n",
    "              plot(x = 'Car cost', y = 'Income', kind = 'scatter', title = 'Dependence of the Target on Income')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'Доход')]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x = data['Income'][(data['Car cost'] >= 5000) & (data['Car cost'] <= 6500)], orient = \"h\").\\\n",
    "        set(xlabel = u'Доход')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Q1 = -1.5806481145434008\n",
      "Q3 = -1.1564109750876599\n",
      "IQR = 0.42423713945574093\n",
      "Q1 - 1.5 IQR = -2.217003823727012\n",
      "Q3 + 1.5 IQR = -0.5200552659040485\n"
     ]
    }
   ],
   "source": [
    "Q1_IQR, Q3_IQR = get_Q1_Q3_IDR(data[(data['Car cost'] >= 5000) & (data['Car cost'] <= 6500)], 'Income')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "data2 = del_outliers(data[(data['Car cost'] >= 5000) & (data['Car cost'] <= 6500)], Q1_IQR, Q3_IQR, 'Income')\n",
    "data = pd.concat([data[~((data['Car cost'] >= 5000) & (data['Car cost'] <= 6500))], data2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 1986 entries, 0 to 1939\n",
      "Data columns (total 9 columns):\n",
      " #   Column           Non-Null Count  Dtype  \n",
      "---  ------           --------------  -----  \n",
      " 0   Gender           1986 non-null   int64  \n",
      " 1   Car cost         1986 non-null   float64\n",
      " 2   Car maker_AUDI   1986 non-null   bool   \n",
      " 3   Car maker_BMW    1986 non-null   bool   \n",
      " 4   Car maker_LADA   1986 non-null   bool   \n",
      " 5   Car maker_MAZDA  1986 non-null   bool   \n",
      " 6   Car maker_OPEL   1986 non-null   bool   \n",
      " 7   Age              1986 non-null   float64\n",
      " 8   Income           1986 non-null   float64\n",
      "dtypes: bool(5), float64(3), int64(1)\n",
      "memory usage: 87.3 KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Взаимосвязь таргета с возрастом "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Dependence of the Target on Age'}, xlabel='Car cost', ylabel='Age'>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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YuHFjuI1Vq1bh3XffjWo3yPklUgP6CxHR6Hn33Xfx/fff48CBA9i8eTM+/PBDfPDBB+jUqRNmzZoV9QXQqVOn4vjjj0ffvn0xfvx4dO3aFZs3b8bChQuxYcMGfPXVV1Ft79u3D6eccgpGjx6NFStW4LHHHsPxxx8f/mJrfn4+Hn/8cYwdOxbHHnsszj//fBQVFaGiogJvv/02SktL8eijjyqN56yzzkJpaSluuukmrFu3Dn369MEbb7wR88VbnfGIyM/Px4MPPogrrrgCgwYNwoUXXoiWLVviq6++Qn19PZ5//nlkZGTg6aefxumnn44jjzwSl156KTp06ICffvoJc+fORX5+Pv71r39x+7jyyivx5JNPYty4cfjiiy/QuXNn/POf/8T8+fPx0EMPoUWLFkoxOwwYMAD/+c9/8MADD6B9+/bo0qULhgwZIl2/W7du+Mtf/oLJkydj3bp1GDVqFFq0aIG1a9fizTffxJVXXonf//73WrGdeuqpaNq0Kc466yxcddVVqKurw1NPPYXi4mLPzawXV111FR599FFccMEF+N3vfod27drhpZdeCq9v5689KvMzYMAAAMCf/vQnnH/++cjKysJZZ50V3ihFkpWVhSlTpuDSSy/FiSeeiAsuuACbN2/G3//+d3Tu3BnXX3+9Vm7cvPTSS2jVqhWGDRvm+f7ZZ5+Np556Cm+//TbOPfdc3HbbbXj//fdRWlqKCRMm4ODBg3j00Udx1FFHoby8PFwvyPklUoQEPNlGEHHBeZTc+de0aVPWtm1b9j//8z/s73//e9Tj25GsXr2aXXzxxaxt27YsKyuLdejQgZ155pnsn//8Z0zbH330EbvyyitZy5YtWfPmzdlFF13EqqqqYtqcO3cuKysrYwUFBSwnJ4d169aNjRs3ji1ZsiRc5pJLLmHNmjWLqes8Fh5JVVUVGzt2LMvPz2cFBQVs7NixbOnSpTGP3auOx31Ewdy5c2POsGGMsVmzZrFhw4ax3Nxclp+fzwYPHsxeeeWVqDJLly5l5557LmvVqhXLzs5mnTp1YqNHj2Zz5szxzHskmzdvZpdeeilr3bo1a9q0Kevbt2/MuBhTe+z++++/Z8OHD2e5ubkMQPgRfCe/W7dujSrv5MT9yPnrr7/Ojj/+eNasWTPWrFkz1rt3bzZx4kS2YsUKqTgY837sftasWezoo49mOTk5rHPnzmzKlCns2WefjYnBb8xr1qxhZ5xxBsvNzWVFRUXsxhtvZK+//joDwD777LOosrLzc+edd7IOHTqwjIwMqUfwZ8yYwfr378+ys7PZYYcdxi666CK2YcOGqDIqaz2SzZs3s8zMzKgzr9zU19ezvLw8ds4554RfmzNnDuvfvz9r2rQp69atG3v66afZjTfeyHJycmLq25hfIjUJMabwbUmCIAAcOtn50ksvxeeffx6lBSGIZOOhhx7C9ddfjw0bNkQ9UZjujBo1CsuWLQs/dUcQ9B0igiCIRsLu3bujft6zZw+efPJJ9OjRI603Q+68rFy5Eu+88w5OOumkxAREJCX0HSKCIIhGwrnnnouOHTuiX79+qKmpwfTp0/H9999HHVaYjnTt2hXjxo1D165d8eOPP+Lxxx9H06ZNMWnSpESHRiQRtCEiCIJoJJSVleHpp5/GSy+9hIMHD6JPnz74xz/+gTFjxiQ6tIRy2mmn4ZVXXkFlZSWys7MxdOhQ3H333dxDGIn0hL5DRBAEQRBE2kPfISIIgiAIIu2hDRFBEARBEGkPfYdIQENDAzZu3IgWLVoYH/1PEARBEER8YIxh586daN++fYws2gvaEAnYuHEjSkpKEh0GQRAEQRAarF+/HocffriwHG2IBDiagPXr1yM/Pz/B0RAEQRAEIUNtbS1KSkqkdT+0IRLgfEyWn59PGyKCIAiCSDFkv+5CX6omCIIgCCLtoQ0RQRAEQRBpD22ICIIgCIJIe2hDRBAEQRBE2kMbIoIgCIIg0h7aEBEEQRAEkfbQhoggCIIgiLSHNkQEQRAEQaQ9tCEiCIIgCCLtoQ0RQRAEQRBpD6k70pw1W+vw4/Z6dG7VDF1aN4v5OVUIMu6PVmxB+YZqHNuxJU7oUcTtUzcG2XpOuSYh4CBDTHleO7Jxqr5uA3fbvFyr1m9XkIOiFjncXLnrO+WahEI4yBg3B877onZ58ZnkxiE8xvxcFOVnY0vNHlTu3IN2+Tkoys+RGKv3GBIx/zKI1r27nJMP2TVko0/TconOMXEI2hClKdX1+/DbV8rx8cqt4dda5mVhR/3+8M/DexThkQv6oyAvKxEhSuE1Dltx/1i1C6Omzo/KScu8LEy/bAimvLfCOHeysXuViyz/l1FH4eaZ38a085dRR+LmmcuEcXqV83vdRm69xpSZEcKBBhYV66yJx6OkVZ5WfTeRsfvlNLK8Vw782vWLTzZ3vLqTynph7LOLoubP1lhV1kW87gmidS8zPr81FFSfKuUSnWMimhBjjH8HIVBbW4uCggLU1NQ0Krnrxc8sxvxV23DQZ/qbhEIo7d4aL1w+OI6RqeE1Dltx97/jfc9fPpkZITAG49zJxu43V01CIeTnZqJ294GYdrxeN61vK7cy6w849Att6S2natePJDJ22fUvm0OZOZPNHa9uKATfDR8vJt1cBTn/MojWvez4eGsoqD5VyiU6x40d1d/f9B2iNGTN1jp8vHKr8AZ5kDF8vHIr1m7bFafI1OCNw0bcH63Ywv0v8QMNzDh3srGL5uogY9hRv9+zHa/XTevbyK3s+gOAHfX78Ynrv65V6kfixP7xD1ul179sDmXmTCZ3fnVlN0ORfcmO1at+UPMvg8y6lx2f1xoKsk+VconMMRELbYjSkB+31yuVX1eVnBemaBwmcZdvqNauKxODbOyqcxUvTHKrOqYvK3YY1XezdP0OcSENZOfML3e25zvosQaFbB5kx+deQ/Ho0zT3yXrfbczQhigN6XSY3OfpDp1bJeeX/ETjMIm73+GF2nVlYpCNXXWu4oVJblXHdGzHlkb13fQvaSkupIHsnPnlzvZ8Bz3WoJDNg+z43GsoHn2a5j5Z77uNGdoQpSFdi5pjeI8iNAmFfMs1CYUwvEdR0j71wBuHjbhP7FWMlpwvNWZmhIxzJxu7aK6ahEJomZfl2Y7X66b1beRWdv0Bh77/4X5SSKV+JE7sw3sWSa9/2RzKzJlM7vzqZmbIj1d1rF71g5p/GWTWvez4vNZQkH2qlEtkjolYaEOUpjxyQX+Udm8d9Zp7A1DavTUeuaB/PMNSxmsctuKeNfH4mJwcemql1EruZGP3KhdZftbE4z3b8XrdK06V+rZy6zUm9y985wkh3fpuImP3y2lkea8c+LXrF59s7nh1Z00s5W7S/WKSGavKuojXPUG07mXG57eGgupTpVyic0xEQ0+ZCWisT5k5rN22C+uqdoXPv3D/nCoEGfcnK7fiy4odMeea2MqdbD2nnPN4ubs8rx3ZOFVft4G7bV6uVeu3L8hF6xbZ3Fy56zvlRLkVlRPFZ5IbB/cYt+3ci401u8M/6441EfMvg2jdu8s5+TA5h0i1T9Nyic5xY0X19zdtiAQ09g0RQRAEQTRG6LF7giAIgiAIReik6jQjnY6ID3qspqoDUTnV+G2NV6UdWXUBr/yW2j2orBVrFnRzKlKBiHQPqioR/nijlSC8vK3ZWod/f70JO3btQ+vmTXGAMWSGQjjAWDiGGYsrsHBtFUq7tcavBpbwx8TJbVC6HpFqRDQHqtcBT0UiM+6Kql3/1Z8c0p2467j1KDylS2ws8jF4tWO63ggz6CMzAY3lI7MgFRfJRtBj5bUvewy/KD7V+G2NV6UdWXWBTHkHL82Cid7ETwUi0j08ftGxmPDSlzHaFlkNhKh9r0M/W+Q0wc49B4VtR5KZEcKsiaXo06FA2Of0ywdjyuwfrOt6uKqR03pi7DOLuTnUvQ68VDU8eKodE3S0KF65j2yHpwlS0Y4QsdB3iCzTWDZEQSouko2gx8prX/YYflF8qvHbGq9KO7LqApnykbg1Czb0Jl7t6+gsvOLjodu+DpkZIay6e6SwT1vKGTeqqhG/OZC5DmR0KpHIjFsFHS2KVwyR7fA0QSraESIW+g4REUOQiotkI+ix+rUvcwy/KD7ecf+8+G2NV6UdWcWBrH4kkkjNgi29ibv9Vz9fr6WzcMfHQ1ctosuBBoapc1cK+7ShnHGjoxrZUb8fry6pEFwHW5SuMz9kxq2CjhbFKwannRmfV3A1QbLaEcIOtCFKA4JUXCQbQY9VV60gq3UQHffvjt/WeFXakc2Brn7E0SwEpTdZsGabUnk3Ig1EInQrn640G5MbW+uGx4LVVb7vL11frdVuPLGlRVm4xj8XMtoRwg60IUoDglRcJBtBj1VXrSCrdRAd9++O39Z4VdqRzYGufsTRLASlNxnW1f+QQhEiDUQidCvH9zAbkxtb64bHsG6tfN/vX1Ko1W48saVFGdrVPxcy2hHCDrQhSgOCVFwkG0GP1a99mWP4RfHxjvvnxW9rvCrtyCoOZPUjkURqFmzpTdztjx5UoqWzcMfHQ1ctoktmRggTT+4h7NOGcsaNjmqkZV4WRg/sKLgOipWuMz9kxq2CjhbFKwannTGDOnJPIJfVjhB2oA1RmhCk4iLZCHqsfLWC3DH8ovhU47c1XpV2ZNUFMuUdvDQLJnoTPxWISPcwY/xxHG2LnAZC1L4X+TlNpNqOxHnKTKZPW8oZNyqqEdEcyFwHMjqV6P5ix22CjhbFK4bIdviaIHntCGEOPWUmoLE8ZeaQTkfEBz1WU9WBqJxq/LbGq9KOrLqAV15Ws6CbU5EKRKR7UFWJiMbr1mR4vf7vrzdie90+FLXIxv6GBmRlZGB/Q0M4hteWrMf81du45xCJxhSUrkekGhHNgep1wFORyIx7w456T/2JU8dUASObezem642IplE/dv/xxx/jvvvuwxdffIFNmzbhzTffxKhRo7jl582bh5NPPjnm9U2bNqFt27ZSfTa2DRFBEARBpAON+rH7Xbt24ZhjjsHUqVOV6q1YsQKbNm0K/ysuLg4oQoIgCIIgUpGUUnecfvrpOP3005XrFRcXo7Cw0H5AaYjqMf+8o+jTSSHiYDpmtx7AS/sgo9GQVSGoqDt4GgidNmUQrSteDmTVCLJzFVY8FOSgqEWOUOPCy4eoHa/YdOfZ6cutBFEduy6JvPZ/VnIcUnbIKjlsva+qliHiS0ptiHTp168f9u7di6OOOgq33XYbSktLuWX37t2LvXv3hn+ura2NR4hJj6oegncUvdcx+o1VIeJgqtaQ1QN4He4mp0KIVY6I4vRqyx2DTEyqcNfV5UMwZba3nmF4jyJMKuuFsc8uEqoRZOfKK47I8l455eXDrRjh9SurS1FRaUTGJtJLmJJIfZDffHnFYqrXkbk+/NQyRGJIqe8QRRIKhYTfIVqxYgXmzZuHgQMHYu/evXj66afx4osvYtGiRTj22GM969x22224/fbbY15P9+8QqeoheEfRi46wb4yYqjVMNBCmKgQddYdKTKqorKvI/kQaCQfZueLF4ZRX1Uvw2onsV1aXoqrScAj62kykPshvvrxiMdXrBK2GIeRo1N8hUqVXr1646qqrMGDAAAwbNgzPPvsshg0bhgcffJBbZ/LkyaipqQn/W79+fRwjTk5U9RAfrdjCvfn4HWHfmBQiDqZqDVMNhIwSxE+FoKPukI1Jdb5V11Vkf34aCVVViF8cTnlVvQSvHadfWV2K3zz7bYaAYK/NROqDRPPljsVPG2Lyvgyk6kgsjXpD5MXgwYOxatUq7vvZ2dnIz8+P+pfuqOohyjdUa/XTmBQiDqZqDVsaCFPNgI66Q6VNGXTXlQhVVUhQcfj1K5tzWzoJrxhMSKQ+SHW+RNoQ0/dFkKojcaTFd4giKS8vR7t27RIdRkqhqofod3ihVj+NSSHiYKrWsKWBMNUM6Kg7VNqUQXddiVBVhQQVh1+/st9ssKWT8IrBhETqg1TnS6QNMX1fBKk6EkdK/YWorq4O5eXlKC8vBwCsXbsW5eXlqKioAHDo466LL744XP6hhx7CW2+9hVWrVuHbb7/Fddddhw8//BATJ05MRPgpi6oe4sRexdzTeP2OsG+MT5uZqjVMNRAyShA/FYKOukM2JtX5Vl1Xkf35aSRUVSF+cTjlVfUSvHacfmV1KX7zzMuBQ5DXZiL1QaL5csfipw0xeV8GUnUklpTaEC1ZsgT9+/dH//6Hjju/4YYb0L9/f9xyyy0ADh246GyOAGDfvn248cYb0bdvX5x44on46quv8J///AennHJKQuJPZVT1EPyj6P2PsG+MmKo1ZPUAXpiqEFTUHV7zrdKmDCrrKrI/kUbCQXauvOKI7i82p36bOV47kf3K6lJUVBqRsQV9bSZSH+Q3X16xmOp1ZK4PP7UMkRhS9imzeEEnVUejesw/7yj6dFKIOJiOmacqEOkgZONQ1XB4tcX7WaVNGUTritefrBpBdq7cigeRxoUXn6gdr9h059npy60EUR27Lom89nWVHLbeV1XLEGY0anVHIqANEUEQBEGkHvTYPUEQBEEQhCK0ISIIgiAIIu1Ju8fuCW9sebbS6TtBtrxu7va21O5BZe2ecDlbubU5RyIfmi2XmTsnjoPK9jp1z43IleaeI9l+f/bQRefDK0+L11Rh4doqtG6WjRa5mTHrwSkr6zT791cbsWxjDfq2L8DIY9qH67vH4vaqhXMv4VmTyXW87hXunMvMmXvedceQjvfDxgBtiNKcIDxb5CaLhuffcrxFfo4qt+9IJ7c254jvQzsKN8/8VsrdJdO3jL/NxjqdVNYTY5/19ntFjsPLwRf5Ps9BZeKh84LnPXMQ+bQA4PvKOrz25U9S/cn040bFmRfEvUI255Fz5nWNel17XutcxXFGJDf0pWoBjf1L1UF4tshNFg3Po+R4i1S8Rzq5tTlHOj40nTHI5MTGOhX5vRz8XGkA30Fl4nzTwYZPS7UfNyprJIh7hey4I+dM1nUmGkM63g+TGfpSNSFNUJ4tcpP9jJ9HaUf9frz6+Xol75Fqbm3OkV9bKu4uUd+yrjQb61RmMwT4u9IAbweVqfNNBxs+LZV+3LlXXSO27xUqOXfmTMV15jcGP49cY70fNjZoQ5TGBO3ZIjeZ2KO0YM02rThkc2tzjmw5zER9q/YTLx+cCLeDKl79emHq05LFnXvdMdu6V6j2/2XFDmtuOpFHrjHeDxsbtCFKY4L2bJGbTOxRGtbV/wRq2X542JwjWw4zUd+q/cTLByfC7aCKV79emPq0ZHHnXnfMtu4Vqv0f27GlNTedyCPXGO+HjQ3aEKUxQXm2yE32M34epZZ5WRg9qETJe6SaW5tz5NeWirtL1LesK83GOhX5vRz8XGmAt4PK1Pmmgw2flko/7tyrrhHb9wqVnDtzpuI68xuDn0eusd4PGxu0IUpzgvBskZssGr5/63huew7uX9g6ubU5Ryo+NBOXmYy/zcY69fN7OYhcaX4OKhMPnReiDZzIp2ULv9yrrJEg7hWyOY+cM69r1OvaE40hHe+HjQl6ykxAY3/KzMGWZyudzt2w5XVzt7dt515srNkdLmcrtzbnSORDs+Uyc+dExvWlE7d7bkSuNPccyfar4qFbsm475q/eFnMOkagtXt/vfL0J3/xUjb4dCjHy6Hbheu6xuH1furmXXSNB4c6TzJy55113DOl4P0xGyGVmmXTZEBEEQRBEY4IeuycIgiAIglCETqomrJDKR9WbHsPP01WIcmHarm4/Ii0Frz0/9Yjq/OvGbqpS2FKzB5U7Y7UosvoLURxh7YVLMSLStsjkxnl92U81WLW1DqXdWuNXA0ti6t8xaxkWrNkW/mhMlCsntsxQCAcYQ7v8XBTlZxuvO93x8bQmormRUZnoXgvuHDn/K/uRKZEa0EdmAugjM39S+ah6Uew677s1DF65sNGubj9uHQFPSxHZnp96pEVuptL8y64X2dyKdBAqWhTZ+l5xTCrrhbHPLvI84M8r516qDxXlRWTbsyaWok+HArz/7SZcOf3LmDJ+7YhUIDrrjoeK9kWmPxW9CwOTuxYuH4wps39QzhFP3UIkFvoOkWVoQ+RPKh9VL4pd5303Xrmw0a5uP154aSki2/NTj/TtUKg0/7LrRTa3OioFETpzLKsAcfBSfehqUTIzQlh190h0vult3xhV9Cqy2NCn6GpfVK4/ANrXggw8dQuRWOg7RETcSGV1hyh2nvpAdEy/G3cudPsVIduPF15aCqe9GZ9X+KpHVOZfdr2oqDt0VAoidOZYZTMExKo+TLQoBxoYLnrqM2GMKnoVWWzoU3S0L7LXSbi8wbUgg5e6hUg9aENEaJPK6g5R7CL1geiYfjdOLkz7tdWPLAvXVBnH4iC7XmzFrjpHtuuLiFR9mI7565+qDaMxI976lHipSVRwq1uI1IM2RIQ2qazuEMUuUh+Ijul34+TCtF9b/cgytGsr41gcZNeLrdhV58h2fRGRqg/TMR/dodAwGjPirU+Jl5pEBbe6hUg9aENEaJPK6g5R7Dz1geiYfjfuXOj2K0K2Hy+8tBROe2MGdfRVj6jMv+x6UVF36KgUROjMsawCxMGt+jDRomRmhPDS+OOEMaroVWSxoU/R0b7IXifh8gbXggxe6hYi9aANEWFEKh9VL4pd53335sErFzba1e3H/Yubp6WIbM9PPaI6/7LlZXOro1Jw4G1idObYTwHinfNY1YeK8iKy7VkTSwEAz1w80LOMXzuijZzOuuOhMz6//lT0LibXgkyOeOoWIrWgp8wE0FNmcqTyUfWmx/DzdBWiXJi2q9uPSEvBa89PPaI6/7qxm6oUeFoUWf2FKA639kKUc5XcOK8v31iLH7bs5J5D9Jd/f4dPV23lnkPEWw9ZGRnY39AQE7vuutMdH09rIpobGZWJ7rXgzpHzv3QOUXJDj91bhjZEBEEQBJF60GP3BEEQBEEQipC6g0gI7iPzZY/Ut4EtzYiuAsMUVcWBzXhsa054r7tVCU6ORevGFkI1R0EOilrkhDURW2r3oLJ2j/R61Vnvbs2I06dbEyJWY/hrSnj9uvsTjTlWqRG9XmVz4/CzFsVfLSIzFl4stjUlRGpBGyIirnhpINxH48uqDlSxpRnhqSy8jv23qTHxUxXoaC1M+zbVnPC0DSJVAq+cjVzz4vRTc7jxW6+yOpXI+jKKisi6Musg8n0VzYpfv07MKkoNGaXNpLKeGPvsYu5p6TIqEb+YeDky0ZQQqQl9h0gAfYfILjwNhAgbR+Pb0ozwxiBSYJiioqGQ0VqY9m2qObGtk7CRa16cNtQcvPZF9XX0Iw6iHKtqVmRitq20Uck9bzx+Mcmuw1RREhE/Q98hIpKWj1Zs0doMAeZH49vSjPiNwU+BYaoxUVFxOP36aS1U4glKc2JbJ2Gaa79xmqo5/Nr3q686725EOVbVrIhifvXzCutKG5Xce41HNBbZdZgKSiLCDNoQEXGjfEO1UX2To/FtaUZ0x2CqMbGtPlCJJ96aE1N0c207x+71qtr+lxU7rMfEQ1WzwmOBourFtq7F3W7QbRONC9oQEXGj3+GFRvVNjsa3pRnRHYOpxsS2+kAlnnhrTkzRzbXtHLvXq2r7x3ZsaT0mHqqaFR7DFFUvtnUt7naDbptoXNCGiIgbJ/Yq5p7mK8L0aHxbmhG/MfgpMEyfUFFRcTj9+mktVOIJSnNiWydhmmu/cZqqOfza96uvOu9uRDlW1ayIYh49qKN1pY1K7r3GIxqL7DpMBSURYQZtiIi44qWBcN/wZFUHqtjSjPBVFv4KDFP8VAU6WgvTvk01J7o6CV45G7nmx8lXc7jxW6/yConjfev49R2JSI2hqlnx69eJWUWpIepPlHtZlYhfTLwcmWhKiNSEnjITQE+ZBYP7yHzZI/VtYEszoqvAMEVVcWAzHtuaE97rblWCk2PRurGFrJrDmQO3EkS1fZn17p53p0+RaoNXX1Wz4u5PNGYVpYZfbhx4WhSVNSDKgW1NCZFYSN1hGdoQEQRBEETqQY/dEwRBEARBKEInVRNWSYWj7n9WAEQrD9yojkW3vKyCwxY22g9KoSGr9lAt59ZM6LbnVnfw6ssqTJy5X7ahBqu21aG0W2sUt8j21XjEKjHkVByierz3eXoSnl7FljrEVI1jY02mwv2MsAdtiAgr2NJiBImXcsNBRUPhxkZ5hyB1ATbmSEa9ohOzitpDVk/hLseL17s9eaWIu77fHIq0FjOXboxpOwglhmgMunitBVV1CF+NMwRTZq8Qrl8b6zwV7meEfVLqO0Qff/wx7rvvPnzxxRfYtGkT3nzzTYwaNcq3zrx583DDDTdg2bJlKCkpwc0334xx48ZJ90nfIZLDlhYjSPy0ISoaCjc2yvMIWv2h2r6MekUnZhO1RxAKkKCUIjoajiCUGPFCRx1iqsaxsc5T4X5GiGnU3yHatWsXjjnmGEydOlWq/Nq1a3HGGWfg5JNPRnl5Oa677jpcccUVeO+99wKONL2wpcUIEpE2REYzoaI4sKVECFr9odK+rHpFNWa/2GSVCrYVIEEoRXhrS0QQSox4oaoOMVXj2FjnqXA/I4IhpTZEp59+Ov7yl7/gnHPOkSr/xBNPoEuXLrj//vtxxBFH4JprrsF5552HBx98MOBI0wtbWowgkVVuiDQTqooDW0qEoNUfMu2raktkY46XniLRmChMkkWJERROvKZqHBvrPBXuZ0QwpNSGSJWFCxdixIgRUa+VlZVh4cKF3Dp79+5FbW1t1D/CH1tajCCRVW6INBOqigNbSoSg1R8y7atqS2RjjpeeItGYKEySRYkRFE68pmocG+s8Fe5nRDA06g1RZWUl2rRpE/VamzZtUFtbi927d3vWueeee1BQUBD+V1JSEo9QUxpbWowgEWlDZDQTKooDW0qEoNUfKu3LqldUY/aLTVapYFsBEoRShLe2RAShxIgXquoQUzWOjXWeCvczIhga9YZIh8mTJ6Ompib8b/369YkOKSWwpcUIEi/lhoOKhsKNjfIOQeoCbMyRjHpFJ2YVtYesnsLvF6tOezyliJfGxd2e39ryIyglhlc/NvBaC6rqEFM1jo11ngr3M8I+KfWUWSShUEj4lNnw4cNx7LHH4qGHHgq/9txzz+G6665DTU2NVD/0lJkaqXDUPU8B4EZ1LLrlZRUctrDRflAKDVm1h2o5t2ZCtz1ZfYSswsSZ++Uba/HDlp0o7dYabQtyfDUepkoMXj3e+zw9CU+vYksdYqrGsbEmU+F+RvBJG3WHzIbof//3f/HOO+/gm2++Cb924YUXYvv27Zg9e7ZUP7QhIgiCIIjUo1E/dl9XV4fy8nKUl5cDOPRYfXl5OSoqKgAc+rjr4osvDpf/zW9+gzVr1mDSpEn4/vvv8dhjj+HVV1/F9ddfn4jwCYIgCIJIUlLqpOolS5bg5JNPDv98ww03AAAuueQSTJs2DZs2bQpvjgCgS5cuePvtt3H99dfj73//Ow4//HA8/fTTKCsri3vs6UIqHHUvq1WwpfSQjYenl3CrPVTbVa3HUyb4tSlSV/B+tqUtide6k1V3PDpnJeav3oYTehTh6pO7K2srvHDaPLwwD4e3yg0rM2rr96Oqfh9aN2uKFrlZ2Fm/H9vq96G0W2v8aiD/oRC/eQYi1mXNHlTu3BNW3bhVHu5ccHPmqi+bA9k4RUqSLTV7sLyyFq2aZ+PMo9vHRZNDpBYp+5FZvKCPzORIhaPuRTGavm8jHgeeJkKmP904ecqEWROPR4vcTG21huhn3utBjlUVP+2LrvZCNs4Fq7biwqcXK7cPHFpHsyaWok+HgvBrfvMsqwjhETkmv5x5lXdjI06/ucnPaYLaPQelYiFSk7T5DlG8oA2RHKlw1L0oRtP3bcQjQqY/3Th5yoSWeVno26FQW62hS5BjVUVGWaKKbJydb3rbqJ/MjBBW3T0y/LPfPMsqQnhEjslU8xJknKqxEKlJo/4OEZGcpMJR96IYP/5hi+B9NaWHbjwiRP3pzoWfMmFH/X4jtYYuQY1VFVlliSoycT46Z6VxPwcaGF5bcuj4ENE8v7pEThHCwxnTjMUVRpoXYZySKhMVkul+RSQG2hARxqTCUfeiGJeurxa8r6b0MI1HBK8/3bnQVSbEA9tjVSXo3PjFOX/1Nit9OO2IxrJgtZoihMfCtXqqEQdhnIoqE5NYiPSBNkSEMalw1L0oxv4lhYL31ZQepvGI4PWnOxe6yoR4YHusqgSdG784S7vJH+Loh9OOaCzDuqkpQngM7aKnGnEQxqmoMjGJhUgfaENEGJMKR92LYhzes1jwvprSQzceEaL+dOfCT5nQMi/LSK2hS1BjVUVWWaKKTJzXnNLDuJ/MjFD4aTPRPI8eKKcI4eGMaczgjkaaF2GckioTFZLpfkUkBtoQEVZIhaPuRTGavm8jHgeeJkKmP904+cqE443UGqKfea8HOVZV/LQvupsl2ThnjD9Oq33g56fMIvGbZ0BdLxJJ5Jj8cuZV3o2NOP36z89pIh0LkR7QU2YC6CkzNVLhqHtZrYItpYdsPDy9hKzqwFacPGWCX5sidQXvZ1vaknitO1l1x2NzV+GTlVvD5xCZziWAcJuHt8zD4YflhpUZO3cfwLZde9G6WTZa5GaGfxadQ+Q3z0DsunTG7FZ5iBQ47pyp5kA2TpGSZNvOvfhuYy0Oa940fA5RKtyvCH3osXvL0IaIIAiCIFIPeuyeIAiCIAhCEdoQEQRBEASR9qSUy4xIH4J0DIk8WzzcTiXddpIFG34tUduybcrm0jTHIi8Wrx+3j8vdv9tx5vi/ZD1hkeUcZ9mR7fJR2rMoxnHnMGNxBRaurUKPoubo06FA2gsX4yj7b8zu+rxc8dxhy36qwaqtdeHvLvH6d9p1HGzu8jwnmWiORO+v2VqHRWurAIRwXNdWKXGNEvGFvkMkgL5DFF+CdFN5tS3jz/JyKrldYzoerkTh54AyjVt1/mTn5C+jjsTNM5dprwuRF8svHj+v3KSynhj77GLfU5ll/VvNmoawa5//7bhlXhbuO/do/OblLz1jiiwXm8NY7xwPr/U9/bIhmPLeCm3H2aTTemLsM/658qtv4hwsyM1Cze7ofod2bYUnfj0gKa9Rwg70pWrL0IYovgTpppJxH3n1peOxSmYvkl8eTONWnT/ZOfFypqnEKvJiqcQT2X8oBN+Nibsf2/4tWWx45zIzQmAM2o4z2Vzx6ps4B3kM71GUlNcoYQf6UjWRsgTpppJ1h7n70vVYJasXSZQHk7hV509lTrycabKxirxYn/z3LwmqfrmDjEn/grfhCTPBhnfuQAMzcpzpboac+ibOQR7JeI0SiYM2RETSEKSbStUd5vRl6rFKNi+SbB504ladP1OfG69dN6I5/LJih9V4eNjyhKUzps5BL5LtGiUSB22IiKQhSDeVqjvM6cvUY5VsXiTZPOjErTp/pj43XrtuRHN4bMeWVuPhYcsTls6YOge9SLZrlEgctCEikoYg3VSy7jB3X7oeq2T1IonyYBK36vypzImXM002VpEXy3mCStUv1yQU4ipWvPox9YSZYMM7l5kRMnKcyeaKV9/EOcgjGa9RInHQhohIKoJ0U3m1LePP8nIquW/uOh6uROHngDKNW3X+ZOfEy5mmEqvIi+UXj59XbtbEUuGGWda/1byp+Jd4y7wsPHPxQOHmQjaHPLzW96yJpUaOM5lc+dU3cQ4W5Mb2O7Rrq6S9RonEQE+ZCaCnzBJDkI4hkWeLh9uppNtOsmDDryVqW7ZN2Vya5ljkxeL1w3OYudt13nd76Xjte5VznGVHti9AaY/W3LZeW7Ie81dvQ8/iFjiifb60F07kKHOP2d0vzx22fGMtftiyM3yuEK9/p123c03kJBPNkej9tdt2YdGaKjCAziFKE+ixe8vQhoggCIIgUg967J4gCIIgCEIRUncQKYWJukGkEhB9jKIaC09HIatICBrZXPqVc+s/3GMTtaWrD1HNmexc8eLgqTzcGhe3DkNVO6EyLnfMjuKjXX4uivKzY5QffrqQ6PYOzSGvvlutIava4PXDy/UnP2zF8k21OKFHEa4+uTu3fhDqGSI9oQ0RkRKYKD14dSeV9cLYZxcJdQ6qscjoKBy8FAmi/k2RzaVfOQbGVVB4tamSE795lVVwyI5VpDHx0l2454yn9pDtj6e14I3LL2YevBhb5mVh+uVDMGW2v5JDNEY3suspsryXngUAFq7ZjnvfW4Gnxw7EC5/9KL3mCEIV+g6RAPoOUXJgovTg1eWpBNw6B9VYTPUMov5Nkc2lXzkAShoUVSUGb15lFRyyYxVpTEx1FzL9qa5F2/oPEyUHD9n1FFleJtfOX4VU+iXSF/oOEdHoMFF6+NXl/RdvpM5BNRZVdYBq/6bI5lI4TgUNimpOePMqq+CQHasoLhu6C5n+VNaiql5EBhMlBw/Z9RRZXibXquodglCBNkRE0mOi9NDVMTg6B9X2dNQBKv2bIptLmxoL3Zy451VWweEQr7mSRbe/yHEFrRexTRDrSaVfglCBNkRE0mOi9NDVMTg6B9X2dNQBKv2bIptLmxoL3Zy451VWweEQr7mSRbe/yHEFrRexTRDrSaVfglCBNkRE0mOi9PCryzvtN1LnoBqLqjpAtX9TZHMpHKeCBkU1J7x5lVVwyI5VFJcN3YVMfyprUVUvIoOJkoOH7HqKLC+Ta1X1DkGoQBsiIiUwUXrw6nqpBLx0DqqxyOgoHLwVCf79myKbS79yfgoKrzZVcuI3r7IKDpkx8N6PLOelu3DPmUijIaOdUFmLMrl347fhklFyqHrIZNdTZHmRWuSZiwcqrTmCUIWeMhNAT5klFybqBpFKQPUcIB11gJcqQ7d/U2Rz6VfOVLegqw9RzZnsXPHi4Kk83BoXtw5DVTuhMi53zO6+3coPP12IX3vu+u65lp171VzPX7kNyzbWxJxDpLrmiPSF1B2WoQ0RQRAEQaQe9Ng9QRAEQRCEInRSNdEo0FF62FJm8HQUJkoMmf5E6gNRPCIdhVe5iqpdvjkTxebg9OXWTLTLz0FRfo5yfafcjMUVWLi2Cj2Km6NP+wJldYZsOVGOTXQwi9ZuRwhACFDSgHyyYiuWV9bi8MJcHN4qL0a5IbvOwooPZ044/avqUERKkGU/1WDV1jqUdmuNXw0s4bajep0RhCz0kZkA+sgsudFReqjqH1T6dusoVJUYfsoBHfWBVzxe5bwUItMvG4Ip7/GVDpE5E8XmjM0r9yJs1jfVlnipPNw51tGxVNfvw4TpX2Lhmiqjsbhxx+K3zmTa460f1bh48UW+/tLlgzF13hrPdmSuM4Kg7xBZhjZEyY2O0kNV/6DStxtVJYafcsCW+kBWRyGjdHByJorNGRsv937YrG+qLdFVecjoYGQ2EKaKGL91JruevXJgU13j7s9U90KkL/QdIiJt0FF6qOofVPt2o6rE4CkHbKoPZHUUMkqHHfX78ernFcLYPl65FTMWVyhvZqLqf25W30+dITtHuioPGR2MjbHI1nevM5X17JUDm+oad7uy5UjZQZhCGyIiZdFReqjqH3T75sWiqyFJZmXDAsHHPA4L18qV49aX7IeHSJ0RtGZCVwfjhal2xL3ObI053joUN6TsIEygDRGRsugoPVT1D7p982LR1ZAks7JhWNdWUuWGdpErx60v2Q8PkTojaM2Erg7GC1PtiHud2RpzvHUobkjZQZiQchuiqVOnonPnzsjJycGQIUOwePFibtlp06YhFApF/cvJyYljtESQ6Cg9VPUPqn27UVVi8J6Wsak+kNVRyCgdWuZlYfSgjsLYhvcowpjBHbm5F8U8vEcRxgwyq++nzpCdI12Vh4wOxsZYZOu715nKevbKgU11jbtd2XKk7CBMSakN0YwZM3DDDTfg1ltvxZdffoljjjkGZWVl2LJlC7dOfn4+Nm3aFP73448/xjFiImh0lB6q+geVvt3tqioxVPuLrO+lPvCKR0ZHIaN0iMyZKDZnbF65F2Gzvqm2RCbHOjqWRy7oL/UXMFntCC8Wv3Umq2PxyoFqXLz4Il+fMf44bjsy1xlBqJJST5kNGTIEgwYNwqOPPgoAaGhoQElJCa699lrcdNNNMeWnTZuG6667DtXV1dp90lNmqYGO0sOWMoOnozBRYsj0J6uZ4PUj0lF4lduwo943Z7IqDqcvt2bC+Vm1vlPutSXrMX/1NvQsboEj2ucrqzNky4lybKKD+WxNFUIAmmSElDQgjuri8JZ5OPyw3Bjlhuw6k9WQqOpQREqQ5Rtr8cOWnTHnEPHWlInGh0gPGu1j9/v27UNeXh7++c9/YtSoUeHXL7nkElRXV+Ott96KqTNt2jRcccUV6NChAxoaGnDsscfi7rvvxpFHHsntZ+/evdi7d2/459raWpSUlNCGiCAIgiBSiEb72P22bdtw8OBBtGnTJur1Nm3aoLKy0rNOr1698Oyzz+Ktt97C9OnT0dDQgGHDhmHDhg3cfu655x4UFBSE/5WUlHDLEgRBEATROGjU6o6hQ4di6NCh4Z+HDRuGI444Ak8++STuvPNOzzqTJ0/GDTfcEP7Z+QsRQYjUFm61AA9V1YeMUkNHZRCE+kA1F7H15HQksu0FpXlw6y1kPxpzj9NLY7FobRWAEI7r2ioqVmcdZIZCOMAYauv3o6p+H3oUtUCfDvncscqqL3ixufUoPH7WqRzSr4hy42hWeKoO2TUgyilByJIyG6LWrVujSZMm2Lx5c9TrmzdvRtu2baXayMrKQv/+/bFq1SpumezsbGRnZxvFSjQueKqP6ZcPwZTZ3moLWR2En4JApV8VlYGuOsQPWXWHaj0vVYZqezY1D37x+ik6dDQbwKGjBv50Rm+MfWax1KGU7rG6f1Yt58YrdzI6lcjcfLOhGuc8tiA81plLN2LyG99g+uWD8ZhL1eG3BrwUIn79EoSIlPkOEXDoS9WDBw/GI488AuDQl6o7duyIa665xvNL1W4OHjyII488EiNHjsQDDzwg1Sd9qZrg6SL81BayOgi/ejr9+vXvF4ep+kBW3aFaT6SJUGlPpr4IUfs8RYeJzoLn+0oEXrmT1ak4uen+x3e443GrOvzWgKxGRVXJQzQeGu13iADghhtuwFNPPYXnn38ey5cvx4QJE7Br1y5ceumlAICLL74YkydPDpe/44478P7772PNmjX48ssv8etf/xo//vgjrrjiikQNgUgx/FQffmoLWR0Er56f5kJGqaGqaDBRH8hoRXR0ESJNhIl+QmesMu17KTpk4+KRLJshIDZ3fteHmx31+3Hnv5b5jkdWl6KiUVFR8hDpTUptiMaMGYO//e1vuOWWW9CvXz+Ul5dj9uzZ4S9aV1RUYNOmTeHyO3bswPjx43HEEUdg5MiRqK2txYIFC9CnT59EDYFIMUSqDxG6OghTzYW7fwdddYgfsmOzrYswbU91rLLtuxUdyaxd0cXJner1MX/1tgCiESOr5CHSm5T5DpHDNddcg2uuucbzvXnz5kX9/OCDD+LBBx+MQ1REY0Wk+hChq4MY2qUVZi7daNR3ZP8OuuoQP2THZlsXYdqe6lhl23crOpJZu6KLkzvV66O0W2t8X1kXQET+yCp5iPQmpf5CRBDxxk/14ae2kNVB8Or5aS5klBqqigYT9YGMVkRHFyHSRJjoJ3TGKtO+l6JDNi4evNOcE4E7d37Xh5uWeVn481lH+o5HVpeiolFRUfIQ6Q1tiAhCAF/1wVdbyOog/BQEKv2qqAx01SF+yKo7VOuJNBEy7dnUPPjF66fo0NFsAIeeMps1sVRp0+H3s2o5N165k9GpROZm1sTSmLHyVB1+a8Drdb9+CUJESj1llgjoKTPCQaS2EOkm3OVlFQQySg0dlUEQ6gPVXMjWMx2b7bG69RayZ964x+mlsVi0pgoMiDmHyFkHWRkZ2N/QgJ27D2Dbrr0xmhLe2EXqC15sInWIOz63joWXG0ezwlN1yK4BUU6J9KXRqjsSBW2ICIIgCCL1aNSP3RMEQRAEQQRByj1lRhCy2NI12NY+8FQcsioD5+dlP9Vg1da6mPKm8YcVDAU5KGqR41nPVNERrzmR1UD8rJ3w1lSI+nPnQ1WToZpH776jtSexMfn3JdKduHUlTq5E7TnrtHWzpmiRmxVWe7jXb7j8hhqs2hb7ukht46xX3hw8Omcl/vP9ZnQvao6Jv+hh7WNiovFAH5kJoI/MUg9bagrbigueiuO+Xx6N37z0ZdSBdZkZIUy/bAge+2i1r4YisvysiaXo06FAO34/BYNTj4FZU3QEOSe8cl4aCN5J0DLqEBklh6omQzYvIo2IrIrDa4wmag8ZpYYuIrWNCkd3yMeLlx+nrashkh/6DpFlaEOUethSU9hWXMgqDiJxqwz8yMwIYdXdI8M/q8bvF59TD4A1RUeQc8IrJ6t78Csf2Z+JksOvX5m82OhbNSfxbs+rfZHaRoXhPYq0dTVE8kPfISLSGltqCtuKCxXFgbs/WQ40MLy2ZD0A9fhF8Tn1bCo6gpoTv3Kyuge/8uFc/OCfD11k8mKqA4nsSyUn8W7Pq/2PV27FjM/5ahsVdHU1ROOENkREo8KWmsK24sJUASKLo0ZQjd9mfEHpQmTbiZcqY+n6YHUQfnlpjDoQFRausaO2AfR0NUTjhDZERKPClprCtuLCVAEiS2m3Qx9rqcZvM76gdCGy7cRLldG/JFgdhF9eGqMORIWhXVtZa0tHV0M0TmhDRDQqbKkpbCsuVBQH7v5kycwIhZ82U41fFJ9Tz6aiI6g58Ssnq3vwKx/ORU//fOgikxdTHUhkXyo5iXd7Xu0P71GEMYP4ahsVdHU1ROOENkREo8OWmsK24oKn4njm4oHSKgM/v9msiaVG8fspGJx6NhUdQc4Jr5yX7oHn1pJRh8goOVQ1GbJ5EWlEZOCN0UTtIaPU0EWktlHh6A75RroaovFBT5kJoKfMUhdbugbb2geeikNWZeD8vHxjLX7YslN4DpFq/G4Fg1c9U0VHvOZEVgMhGrOoP3c+VDUZqnn061vUh6wehfezW+khas9Zp62bZaNFbma4nnv98ta1rNrGHY87rsfmrsL731XSOURpBD12bxnaEBEEQRBE6kGP3RMEQRAEQShCGyKCIAiCINIecpkRjQ7b7jHb/fNcZrx23I4q1fIi75g7Hj+nFWNMyukl6wKTfd3UXSbbru21I/KBudfAmq11WLS2CkAIx3Vt5TlPbmcXbz4zQyEcYCz8v45DjJdrt/NMNiei9eM4+noUNUefDgW+Y9e5bkSvyzj5EnWvIJIL2hARjQbb7jHb/fNcZrMmHo+SVnm+7Xi1J1Oe56Aa3qMIk8p6Yeyzi6Led3u9/BxWIqcXz2vl5wiT8WqpuMv84hP5ukzWjkx/ka9Pv3ww7nrneyxYHX3g4NCurfCnkb0x9tnFQv/ZpLKewnKR5b1y7RUbLyde65nnhfNrf/rlgzFl9g/K183jFx6LCS9/6fH6AEx4+QtlJ1887xVEckJfqhZAX6pOHWy7x2z3z3MvtczLwtJbTvVtx6s9mfI8moRCCIWg9MvLLxYVd5jq6379Oohyr5sj3bWj2p/fRkJmk6E6n7rOMdsuMeDQ+BiD8nWjg5+TL573CiI+0JeqibTEtnvMdv8zFvPdSzvq9+OT//6XqshRJevtEnGQMaPNUGQsH/+wRckdpvo6r18Zd5mJc0x37ejMid9cyMyT6nzqOsdsu8SAQ+PjXjcW+4lsN5H3CiJ5oQ0R0Siw7R6z3f/Ctf7upS8rdki14xBvb5cfS9dXJ6Rf2RyYOsdU104yzEnQ2HSJJUM/kZDbLH2hDRHRKLDtHrPd/9Au/u6lYzu2lGrHId7eLj/6lxQmpF/ZHJg6x1TXTjLMSdDYdIklQz+RkNssfaENEdEosO0es93/mMF891LLvKzw0zEiR5Wst0tEk1CIq6xQaeOQ06tYyR2m+jqvXxl3mYlzTHft6MyJ31zIzJPqfOo6x2y7xIBD4+NeNxb7iWw3kfcKInmhDRHRaLDtHrPdP89lNmvi8cJ2vNqTKe/nJps1sTTmffcvVb9fRiKnl58LTOV1dwwq7jK/+ES+LpO1I9Nf5OuzJpZiWLfYv4YM7drKc57c8ObTv7zYOeaXE6/1rLrJdsauc93MGH+c9OvudhN9ryCSE3rKTAA9ZZZ62HaP2e6f5zLjtSPruZJ1Wrnbccfj57QCIOX0knWByb5u6i6Tbdf22hH5wNxrYO22XVi0pgoMiDmHiOfs4s1nVkYG9jc0hP9X5GmT9bC5Ea0fx9HXs7gFjmif7zt2netG9LqMk4/OIWqckMvMMrQhIgiCIIjUgx67JwiCIAiCUIROqiYaHUHrF1TVG/H6c7xuf0HEKVJy/KyJ8NZF8AjrGPJzUZSfHaOBkFVxmCo7bKlEvMpVVO3yVWG4c+Eux8ul+/1lG2qwalsdSru1xq8GlsS0W1u/H1X1+8IfdcWqYA61891PNVi5tQ49ilqgT4d8rlKEN5ei60iUUxkdCm8O3GNR1ZYQjQv6yEwAfWSWOthWd3i156W2kFFvBKkF0O0viDj5Cg+xJsIvBi99gxuRdsREDSIan6pKxK+c35hklSuiMXv188RFx+IPr3/tm2M/lYsXsnPpdR250dGh8JQgXuoO0VhJ7ZF60HeILEMbotTBtrpDVr8go94IUgug218QcaooPHh4xWBD32CiBnGQzZlJOdEY4qHosIXKXLqvIzc6OhSeEgSIVXeIILVH6kHfISLSEtvqDhX9gox6IygtgG5/QcTp16aKJsIdw0crtljRN+iqQRxkc2ZaThRbPBQdtlCZy8jryI2uDoWrc4mjyoVIHbQ3RPv27cOKFStw4MABm/EQhBa21R2q+gVZ9YZtLYBuf0HEaVtZ4cRQvqHaaruq/TvI5sxWucaE7Fw615GbZMoVqT0aL8obovr6elx++eXIy8vDkUceiYqKCgDAtddei7/+9a/WAyQIGWyrO1T1C7LqDdtaAN3+gojTtrLCiaHf4YVW21Xt30E2Z7bKNSZk59K5jtwkU65I7dF4Ud4QTZ48GV999RXmzZuHnJyc8OsjRozAjBkzrAZHELLYVneo6Bdk1BtBaQF0+wsiTr82VTQR7hhO7FVsRd+gqwZxkM2ZaTlRbPFQdNhCZS4jryM3ujoUrs4ljioXInVQ3hDNnDkTjz76KI4//niEIhbUkUceidWrV1sNjiBUsH0cv1d7XmoLGfVGkFoA3f6CiFNF4cHDKwYvfYMbkXbERA3iIJszk3KRuMckq1yJLi/OfWZGCM9cPFCYY9WNqexcel1HbnR0KLw5EOXdq21SezR+lJ8yy8vLw7fffouuXbuiRYsW+Oqrr9C1a1d89dVXGD58OGpqaoKKNSHQU2apR9D6BVX1RrzOMNHtL4g4RUoOtyZCVk/i1jG4NRCyKg5TZYctlYhXuQ076n1VGO5cuMvxcul+f/nGWvywZWfMOUROuzt3H8C2XXtjziHiteOUU51L1XOIdHQovDkw1ZYQyU3gj90PHz4cv/rVr3DttdeiRYsW+Prrr9GlSxdce+21WLlyJWbPnq0dfDJCGyKCIAiCSD0Cf+z+7rvvxh//+EdMmDABBw4cwN///neceuqpeO6553DXXXdpBa3C1KlT0blzZ+Tk5GDIkCFYvHixb/nXXnsNvXv3Rk5ODvr27Yt33nkn8BgJgiAIgkgtlNUdxx9/PMrLy/HXv/4Vffv2xfvvv49jjz0WCxcuRN++fYOIMcyMGTNwww034IknnsCQIUPw0EMPoaysDCtWrEBxcXFM+QULFuCCCy7APffcgzPPPBMvv/wyRo0ahS+//BJHHXVUoLE2dnjH7ov0AY0Rt47CVJ3By6FtDYWonkw7sjHp5sJBpHkIuh5P3+JWiDg/6447cs4Xr6nCwrVVQnUGL/dOTJmhEA4w5nOtRutTttTsQeXOPWiXn4Oi/JyYfmYsrsDCtVVc5YdTj6fSEM2NrNLDicOtDHH+10/rwhjz1X2I+nTGHtT9zvZ1RciRUidVDxkyBIMGDcKjjz4KAGhoaEBJSQmuvfZa3HTTTTHlx4wZg127duHf//53+LXjjjsO/fr1wxNPPCHVJ31kFg3v2H2vY/IdGuuR937aBV11hp+KIFZDcSRunrlMWUMh06+oHRVFh4lGxEtTEal54NfribHPLtaoJ9Zi8DQZbnTH7QdvffDWg1f96ZcNwZT3Vkj36UdmRghPXDgAf3jjK6Hyw8k97x7y+IUDMOHlL4RKj282VOOcxxYoHVApM2d++hCVPm3rgkyuq3Qn8O8Q1dbWejcUCiE7OxtNmzZVaU6affv2IS8vD//85z8xatSo8OuXXHIJqqur8dZbb8XU6dixI2644QZcd9114dduvfVWzJw5E1999ZVUv7QhioZ37L7XMfkOjfXIez+VgK46QxYTDYVOv+52VBQdJhoRnqbC0TzEq54OQa8Bd1+yig6/azVInNyraljcSo/uf3zH2hyJ+tLp07YuyOS6SncC/w5RYWEhWrZsGfOvsLAQubm56NSpE2699VY0NDRoDYDHtm3bcPDgQbRp0ybq9TZt2qCystKzTmVlpVJ5ANi7dy9qa2uj/hGH8Dt23+uYfIfGeOS9SCWgq86QRVdDodtvZDuqig4TjQjvl9CO+v14dUmFXr3P1yvX0yHoNeDuS1bR4XetBsmO+v2Y+uEqZQ1LpNJjxuKKwDZD7r4cVPu0rQvSva4IdZQ3RNOmTUP79u3xxz/+ETNnzsTMmTPxxz/+ER06dMDjjz+OK6+8Eg8//HDKnlp9zz33oKCgIPyvpKREXClNMFUoNKYj72VVArrqDNvY0kWsq9ql3YbtXCxYXaVXb802rXq6JMsaSAY+XaX3MZ2j9Fi4Vm/Odfpy0O0zaF2Qbj8EH+UN0fPPP4/7778fd955J8466yycddZZuPPOO/G3v/0NM2bMwJ/+9Cc8/PDDeOGFF6wG2rp1azRp0gSbN2+Oen3z5s1o27atZ522bdsqlQcOncRdU1MT/rd+/Xrz4BsJpgqFxnTkvaxKQFedYRtbuojOrZppt2E7F8O6tdKr11XugEhbJMsaSAaO7y5/3lAkjtJjaBe9Odfpy0G3z6B1Qbr9EHyUN0QLFixA//6xp3X2798fCxcuBHDoSTTHcWaLpk2bYsCAAZgzZ074tYaGBsyZMwdDhw71rDN06NCo8gDwwQcfcMsDQHZ2NvLz86P+EYfwO3bf65h8h8Z45L1IJaCrzpBFV0Oh229kO6qKDhONCO8E5pZ5WRg9sKNevUElyvV0CHoNuPuSVXT4XatB0jIvCxN/0V35tOtIpceYwR2tzpFfXw6qfdrWBeleV4Q6yhuikpISPPPMMzGvP/PMM+GPl6qqqtCypbekz4QbbrgBTz31FJ5//nksX74cEyZMwK5du3DppZcCAC6++GJMnjw5XP53v/sdZs+ejfvvvx/ff/89brvtNixZsgTXXHON9djSBf6x+7HH5Ds01iPv/Y7/11Vn+KkI3O3raihk+hW1o6LoMNGIeGkqIjUP8ajn/mUo+8tRd9x+8NaHrKJDdK2qoqL8cHLPu4fMGH+clNJj1sRS5U2RTHk/fYhKn7Z1QSbXFaGG8lNms2bNwq9+9Sv07t0bgwYNAgAsWbIEy5cvx+uvv44zzzwTjz/+OFauXIkHHnjAesCPPvoo7rvvPlRWVqJfv354+OGHMWTIEADASSedhM6dO2PatGnh8q+99hpuvvlmrFu3Dj169MC9996LkSNHSvdHT5l5wzt2X6QPaIyYjpmnIpDVCOhqKET1ZNqRjUk3Fw4izUPQ9Xj6FrdCxPlZd9yRc75k3XbMX71NqM7g5d6JKSsjA/sbGoTXqvO/7rG4+3ltyXrMX72Nq/zgaVXc8OZGVunhxOFWhrjH4TWHAHx1H6I+nbEHdb+zfV2lK4E/dg8A69atwxNPPIEffvgBANCrVy9cddVVqKura3QHHtKGiCAIgiBSj7hsiNwdvvLKK3j22WexZMkSHDx40KS5pIM2RARBEASReqj+/lZWdzh8/PHHeOaZZ/D666+jffv2OPfcc8MnSBONn0QfIZ/o/gF5xYAb1dhVj/G3nRsv5YGqFoT3vkg/oaot4aGq8Hh0zkrMX70NJ/QowtUnd4/RYbh1EG79hUiHwtO8rNlah0VrqwCE0KEw95BKw6Xg2Fm/H9vq96F1s2y0yM0MqzLcbYXVFsXN0ad9gVC9wRuLW4XBU4Hw2lFVw8iqcNz6FJ2cu8v+rANpjj4dCoyvUSK1UPoLUWVlJaZNm4ZnnnkGtbW1GD16NJ544gl89dVX6NOnT5BxJgz6C1E0vKPl43WEfKL7B/j6Et6x/w6qsfOP8Y9VNARxvL9IKyGrBYksJ9KdeI1BVlviFY9orlTVGZGIdBAiHYp73De98bX22UqRbU04qQvGPvO51GGCmRkhTL9sCB77aLVWDmRzKaOG8VOPRM6t15zK9uMwrFsrMAYsXCPOt841SkqN5CCwj8zOOussfPzxxzjjjDNw0UUX4bTTTkOTJk2QlZVFG6I0gne0fLyOkE90/wBfX8I79t9BNXbVY/xtH+8v0krIakEiy4l0J7I6EtmxiubKljrDBGc8qic489rSVcHo5sBGLkVzHzm3quoPU3SuUVJqJAeBqTveffddXH755bj99ttxxhlnoEmTJkaBEqmH39Hy8ThCPtH9A/76Eq9j/x1UY9c5xt/m8f4yWglZLYhT7uMftgh1J7I6EpmxiuaKp/CIN854bLUVz3qAnVyK5t6Z2xmLK+K6GYrsW+UaJaVGaiK9Ifr000+xc+dODBgwAEOGDMGjjz6KbdviewQ+kVhER8sHfYR8ovsHxPoS97H/Dqqx29Y6BKkRkNWCLF1frRSDLk48ormKt8KjMROvXMZD3cFD9RolpUbqIb0hOu644/DUU09h06ZNuOqqq/CPf/wD7du3R0NDAz744APs3LkzyDiJJEB0tHzQR8gnun9ArC9xH/vvoBq7ba1DkBoBWS1I/5JCpRh0ceIRzVW8FR6NmXjlMh7qDh6q1ygpNVIP5ZOqmzVrhssuuwyffvopvvnmG9x4443461//iuLiYpx99tlBxEgkCX5Hy8fjCPlE9w/460u8jv13UI1d5xh/m8f7y2glZLUgTrnhPYuFuhNZHYnMWEVzxVN4xBtnPLbaimc9wE4uRXPvzO2YwR2t5UolNtVrlJQaqYnyhiiSXr164d5778WGDRvwyiuv2IqJSGJ4R8vH6wj5RPcP+OlLvI/9d1CNXfUYf9vH+4u0ErJakMhyIt2JrI5EdqyiuVJVZ0QiUjmIdCgOznh0ZbXutmaMP05aM5GZEcKM8cdp50A2lzJqGD/1SOTces2pbD8Ow7q1wtCucvnWuUZJqZGaGB/M2Nihp8y8SfQR8onuH5BXDLhRjV31GH/bufFSHqhqQXjvi/QTqtoSHqoKj8fmrsInK7eGzyFy6zDcOgi3NkKkQ/Eb96I1VWAADm+ZG6WgcBQcO3cfwLZde8PnEPF0IW61hUi9wRuLW4XBU4GI5lZ1TkU6DLcqRCfn7rK8nIlIhvsREUvcT6pu7NCGiCAIgiBSj8AeuycIgiAIgmisaKs7iNQkUUfMyx7br9teMiIasy3thK34VHBrE3gKDl6fIq2DbsxiHYS3WmNLzR5U7oxVcsiqR3jjcb8vLg+Ur6/Bjl378IsjiqU0I6Ic/9yndyw8xYXsnIowVXTwVCMO7uvDr12ekkVVHWP7fkYkB/SRmYDG8pFZoo6Y9+rX69h+2ThS4ah8mTHL5EBXEaITn2wO/bQJfm2paB1sKUFEOgie1sGt5JBVj4ja1SlfmJuFf13DV2OoxqYbs841pjMnkf18s6Ea5zy2IGouMjNCmDWxFH06FHiuRZ5OpW+HfHzzU61vvLzYRNeuyf2MCBb6DpFlGsuGKFFHzMsc568SRyocla+jMNDRTtiMTzaHMtoEWaWHaX2REkRWBaISTyJUH35qjHjFpnON6cxJZD/d//iO5+YmMyOEVXePtK7wCGK9EImFvkNExJCoI+Zl9A8qcaTCUfmyY3ajqp3gKUJ045PJoV9Mfm2p5sSWEkRWBSIbz8c/bE2I6uOQGqNCkINgY1O9xlTVM+5+Hv1wJVdOe6CB4S//+s66wsP2ekmG+xGhBm2I0oBEHTGvqp8QxZEKR+WbKjdktRM8RYgIkxyKYuK1pZuTZFOCLF2vl3MbLBBY2eMVm+w1ZnodzF/lrwL5dLXefxDEk2S4HxFq0IYoDUjUEfOq+glRHKlwVL6pckNWO8FThIgwyaEoJl5bujlJNiVI/xK9nNtgmOAQwXjFJnuNmV4HooMij+9m7+GCoEiG+xGhBm2I0oBEHTEvo39QiSMVjsqXHbMbVe2E7tNmJjn0i8mvLdWc2FKCyKpAZOMZ3rMoIaqPQ2qMjoIcBBub6jWmqp5x93PNL3pwT9vOzAjh5rP6WFd42F4vyXA/ItSgDVGakKgj5r369Tq2XzaOVDgqX2bMMjnQVYToxCebQz9tgl9bKloHW0oQkQ6CNw73L2JZ9YioXZ3yhbn+agzV2HRicPcji86cRCs6SmPmwnnK7ND7sWuRt4k6+nDxF2pl1TE61zKRGtBTZgIay1NmDok6Yl722H7d9pIR0ZhtaSdsxaeCW5sg0iy4+xRpHXRjVtVBiJQcsuoRXrs8DYZf+fL11dhexz+HSDc2lRi83tfFVNHBU404uK8Pv3Z5ShZVdYzt+xkRDPTYvWUa24aIIAiCINIBeuyeIAiCIAhCEdoQEQRBEASR9pDLjLBK0E4fm+0nq0+N166q08zUt6QzPp4zTIRobLGeLX//lchd5n7d6d/53onq97VEuQq73wpyUNQix9eJtWjtdoQAtC/MjXKPbandg8raPaioqsfG6t3h78G4Y3DKZYYycIA1oF1+Doryc8Jjdrxt7lhkx6S7rmRzJJt7XnlZR5pXbOEc/TeHjqvPnbOfcxzCAcbCOXa/zo/N22lHJBbaEBFWCNoxZrN907aCGiuv3UllPTH22cXSTjNTf5zO+Pw8Wn51Rb42GT+XrM9L1l3mFQcPUa783G/ueApys1CzW/705YVrtuPe91bg6YsH4IWFFVoOM6+YVRxkNjx0qs4+Xvnplw/GlNk/KK1BE/+bLIdiG4Ips1dIr2MiMdCXqgXQl6rlCNoxZrN907aCGiuv3VAI3F/YXk4zU3+czvj8+vSrK/K1qY7Fts9L5I0T5cq2b4uH8xcHk/o2vHA6HjpVZx+vfGZGCIxBaQ3Gy03nF5soRkIf+lI1EXeCdozZbN+0raDG6tcuz+nk5TQz9cfpjE/UJ6+uyNf26ufrlcYShM/LzxsnytWMxRVx2Qw5fZrWt+GFU/XQ+eXIK/d+a+ZAA1Nag7reQR38YnMgB1rioQ0RYUzQjjGb7Zu2FdRYdd1PbqeZqT9OZ3yyfbrritxoC9b4+6zcBOXz4nnjRONeuNbfP5aM2PLCyXroRDly517Vp8eLCzD3rQUFOdASB22ICGOCdozZbN+0raDGqut+cjvNTP1xOuOT7dNdV+RGG9ZV7dTloHxePG+caNxDu/j7x5IRW144WQ+dKEfu3Kv69HhxAea+taAgB1rioA0RYUzQjjGb7Zu2FdRY/drl6Qi8nGam/jid8Yn65NUV+dpGDypRGksQPi8/b5woV2MGd7Tu2+Jhz9dm5oVT9dD55cgr935rJjMjpLQGdb2DOvjF5kAOtMRDGyLCCkE7xmy2b9pWUGPlu59KlZxmpv44nfH5ebT86op8bTJ+Llmfl6y7zCsOHqJc+bnf3K8X5Optnp65eKC2w8xB1wtnw0On6uzjly9VXoMm/jdZRLE5kAMt8dBTZgLoKTM1gnb62Gw/WX1qvHZVnWamviWd8cn6qdyIxqbq2RK5y9yvO/1nZWRgf0OD8jlEoly53W9+TqzP1lQhBKBDy9yosTq+tQ3bd2PDjvqYc4jcXjZnLG7fnPO+OxbZMemuK9kcyeaeV15nDbrruHPE+9mdY/froths+eIIb8hlZhnaEBEEQRBE6kGP3RMEQRAEQShCJ1WnOKb6CNXj8pMFG9oMWTWBbH1ZbYWu+iDec+UXl27uxEoNR82hlkMeMxZXYOHaKvQobo4+7QtiVR1hvcUhRYM4bjXVgkgV4szlo3NWYv7qbVEfg8VqHtR0KLLEW7cju0Z0y/Pel5k73WtMNgZHAeJuP6x2EaxDIlhoQ5SimOojVI/LTxZsaDNU1ASyKgKeFkKkRJBRH8R7rvxyzMA4uTsKN8/8lps7HaWGbDteOftmQzXOeWyB56GWPFWHatyq+hOZ/h0dR9/2+fhmY61UjLokQrfjt95tlNedO91rzCSGlnlZePzCAZjw8hfCewcRH+g7RAKS9TtEpvoI1ePykwUb2gwVNYGsioCHqlbCq794z5VfjgFo5c5EkSCjlXDnrPsf3/Hd9Jj059evQ9BKiCBVMUHqdtyYXB+i+FXmTvcaM4lBBKk8zGm03yHavn07LrroIuTn56OwsBCXX3456urqfOucdNJJCIVCUf9+85vfxCni4DDVR4iUCTxVQaKxoc3wa8NLTSCrIuAhUiLwyjv9xXuuRDnWyZ3s2HmI1BzunM1YXKG9GZLpj9evQzyUEEGqYoLU7bjRvT5Ea0HUXuQ4da8x4bViqJIhlUf8SZkN0UUXXYRly5bhgw8+wL///W98/PHHuPLKK4X1xo8fj02bNoX/3XvvvXGINlhM9RGi4+95qoJEY0OboXtcv6yKgIeqEsHpL95zFYTOwJYOQqTmcHJmS5khqwJR1Z/YJChVTNC6HTeqa0Q0N7LtravapX2NicZoSyVDKo/4kRLfIVq+fDlmz56Nzz//HAMHDgQAPPLIIxg5ciT+9re/oX379ty6eXl5aNu2bbxCjQum+gjR8fc8VUGisaHN0D2uX1ZFwENVieD0F++5CkJnYEsHIVJzODkb2qUVZi7dGHh/7n4d4qmECEoVE7Rux43qGhHNjWx7nVs1E/5VQFfdYkslQyqP+JESfyFauHAhCgsLw5shABgxYgQyMjKwaNEi37ovvfQSWrdujaOOOgqTJ09GfX1yCv1UMNVHiJQJyfq0mQ1thl8bXmoCWRUBD5ESgVfe6S/ecyXKsU7uZMfOQ6TmcOdszOCO3NOnbfTH69chHkqIIFUxQep23OheH6K1IGovcpy615jwWjFUyZDKI/6kxIaosrISxcXFUa9lZmbisMMOQ2VlJbfehRdeiOnTp2Pu3LmYPHkyXnzxRfz617/27Wvv3r2ora2N+peMmOojVI/LTxZsaDNU1ASyKgLeDVWkRJBRH8R7rvxyrJs7HaWGbDveOSvlbopEmyXZuFX1J7L9A0Df9v5fAA1SFROkbsdvvdsorzt3uteYSQwt87IwY/xxUvcOIj4k9Cmzm266CVOmTPEts3z5crzxxht4/vnnsWLFiqj3iouLcfvtt2PChAlS/X344Yc45ZRTsGrVKnTr1s2zzG233Ybbb7895vVke8rMwVQfoXpcfrJgQ5shqyaQrS+rDNBVH8R7rvzi0s2drFJDNYc8XluyHvNXb0PP4hY4on0+V9Uhq7FQVS2IVCHOXD42dxU+Wbk16hyieGke4q3bkV0juuV578vkT/cak43BUXu42+epXQgzUkrdsXXrVlRV+X8BsmvXrpg+fTpuvPFG7Njx85fUDhw4gJycHLz22ms455xzpPrbtWsXmjdvjtmzZ6OsrMyzzN69e7F3797wz7W1tSgpKUnaDRFBEARBELGobogS+qXqoqIiFBWJd+FDhw5FdXU1vvjiCwwYMADAob/2NDQ0YMiQIdL9lZeXAwDatWvHLZOdnY3s7GzpNgmCIAiCSH1S5mDG008/HZs3b8YTTzyB/fv349JLL8XAgQPx8ssvAwB++uknnHLKKXjhhRcwePBgrF69Gi+//DJGjhyJVq1a4euvv8b111+Pww8/HB999JF0v8lyMGPQx+unE47OobRba/xqYEmiwwkTPt6/dg8qa2OP9xfVE6kJTBUIOmNR7Uv0+s9qD++x8tQLvHadteD+SE01XiceZ+7a5eegKD+HW55Xbs3WOixaux0hAO0Lc3GQsRjdA08Doaqd4KtnvHOrq5zRJSZXBTkoavFzrlTnOrL8xh27o+4BvHuCrmaEp1vhXePudlTHRniTUh+ZqbB9+3Zcc801+Ne//oWMjAz88pe/xMMPP4zmzZsDANatW4cuXbpg7ty5OOmkk7B+/Xr8+te/xrfffotdu3ahpKQE55xzDm6++WaljU2iN0RBH6+fTnjpHDIzQpg1sRR9OhQkLC7R8f48fYCsmkBHL6C7xnT74mlTvJQgXmOdVNYTY59dHKNemH7ZEEx5b0VMuxNO7Iqxzy72PMBRLl5xXKrlC3IzUbP7gG9bIu2Ig+q68VPPeMUuo5zRxW9dO7jz0DIvC9MvH4Ips2PnetJpPTH2mcW+ehh32y9dPhhT561RWsciBQ3vffdYPMfGWcf0e8CfRrshShSJ3hAFfbx+OsHTOWRmhLDq7pEJiOgQouP9efoAWTWBjl5Ad43p9sVTf3i97jXWUAjcuWUMMe2a6iFk4tItbwuddeNGZQ7iqfzwgjfXvLUhwr1ObCk5dOCNjX4P+NNo1R3pSNDH66cTfjqHAw0Mry1ZH+eIDiGjOPDSB4jqmSoOdNaYWGXA74un/vB63WusfnPr1a6oPZ14/dpTKW8LnXXjRmUO4qn88II317oal6BUNDrwxka/B+xCG6IkJujj9dMJkc5h/uptcYokGlnFgVsfIFvPVHGgssbEKgP/vpKNVIvXC911o0u8lR+JINnWBf0esAdtiJKYoI/XTyeGdmnl+35pN+/D04JGVnHg1gfI1jNVHKisMbHKwL+vZCPV4vVCd93oEm/lRyJItnVBvwfsQRuiJCbo4/XTCT+dQ2ZGKGFPm8koDrz0AaJ6pooDnTUmVhnw++KpP7xe9xqr39x6tStqTydev/ZUyttCZ924UZmDeCo/vODNta7GJSgVjQ68sdHvAbvQhijJCfp4/XTCS+fgPGWWSETH+/P0AbJqAh29gO4a0+2Lp/7wet3NoXKlHPVCqWe7M8Yfx/1FqRuvf3zi8gW54mPhZH+5q64bP32EV+wyyhld/Na1gzsPfnPttTZEbc8Yf5zyOhb1wXvf657krscbG/0esAs9ZSYg0U+ZOQR9vH464egcku0cItHx/qJ6proLm2tMty/R6yKNBU+9wGuXp/ZQjdeJx5k7noLBPcfucmu37cJna6oQAtChZW5Um86YeOtEVTuhqp7RVc7oIsqV6lxHlq+s2RN1D+DdE3Q1I7x1yps7dzuqYyO8ocfuLZMsGyKCIAiCIOShx+4JgiAIgiAUSajLjCDcBKGXiNdx97I6Ctkx6io8VHUYQeTSrR5Q7ctRKfQobo4+7QuESgN3fD8rPqLVCe5yyzbUYNW2upiPSmTjV9XAyMwFY0xJoaFLPFUuKvHIKmhE+RG149Wm7Lpul5+LovzsmGuap5bRVXPoXm+EHvSRmQD6yCw+BKGXiJf2REXv4Kc8sKnw8NdheL9uI5c/Vu3CqKnzo8boVhH49eWlV+G1E5kTGd0Db+yR7T/x62Pxh39+LYx/wkldMPaZz6U1MCpzxI89dj3prOd4qlx045GNK7Kcnx6FF7/JunZQVXZ4a0cGY8rsH5T1KF5x+d0r0g36DpFlaEMUH4LQS8RLe2Kid1DRAaioGFR1GLZy2f+O94XOKL++eHoVHk5OZFQKthQafuoPngbGVAGiO29exFPlohuPbFyR5fxyyYvf5ro2wUvN4UYlLt69It2g7xARKYeJ8oF3dH28tCd+/agoD3iKjUhUVAyqOgwbufxoxRapXxq8vvz0Kjx21O/Hq0sqpFQKthQafvW9NDCma8SvrOp6DuJaM0FeQeOvyxDl0it+2+vaBC81hxuVuLzuFYQY2hARCcdU+eB1dH28tCe2VAMixYZD0CoGk1yWb6g26kukV+GxYLVevaBwa2DioaOQXc9BXGsmyCtoqq30Fxl/UOs6aGTjct8rCDG0ISISjqnywevo+nhpT2ypBkSKDYegVQwmuex3eKFRXyK9Co9h3fTqBYVbAxMPHYXseg7iWjNBXkFTaKW/yPiDWtdBIxuX+15BiKENEZFwTJQPvKPr46U98etHRXnAU2xEoqJiUNVh2Mjlib2KpU4E5vXlp1fh0TIvC6MHdpRSKdhSaPjV99LAmK4Rv7Kq6zmIa80EeQWNvy5DlEuv+G2vaxO81BxuVOLyulcQYmhDRCQFQegl4qU9UdE7+CkPbCo8VHUYtnI5a+LxMWN0b3L8+vLSq/DaicyJjO5BpNDIzAjhmYsHSsXvpf7w08CYKkB0500lliBULrrxyMYVWc4vl7z4Tda1g6qyQ1bNIaNH8YrL715B+ENPmQmgp8ziSxB6iXgddy+ro5Ado67CQ1WHEUQu3eoB1b54Sg2RnkJW8eGUW76xFj9s2RlzjpBs/KoaGJm5AKCk0NAlnioXlXhkFTSi/Ija8WpTdl17KVdklB2qag7d6404BD12bxnaEBEEQRBE6kGP3RMEQRAEQShC6o5GTryP309GdI/DFyGrkdBVI/AUBKbx66o8VPr9OfZDhxi6VRoqWgWVsajmRlRfpPAQ9SeraPDCVH+iu05UdSSNgaCuKd3yptc+3ff1oI/MBKTqR2bxPn4/GfHKgcxx+CJEx+WbqhFECg/d+FUUI7oqBxmFhhtb+gmV3MjUdysWvJQLvP54a2T6ZUMw5b0Vvrk01Z/oXvte2hQ/HUljwPQ+qVo/6Guf7vvR0HeILJOqG6J4H7+fjMjqHFRzIjou31SNIBO3Tvyqig8dlYNK7DpjUOnHr12dOEVE9sdbI16KBnecpvoT3Wufp03h6UgaA6b3SdX6QV/7dN+Phr5DRMRNW5HMiJQADqo5ER2X/+rn3hoJkaJDVlGgG7+O4kMmXhkVgq0xqPbDa1c3ThFOfzMWV3DXiJeiITJOU/2J7rXvp03x0pE0Bkzvk6r1xdoUsb7Hrx+675tDG6JGSLy0FcmMqi5BNiei4/IXrPHXSIgUHbqKAlH8uvoIUbwqKgQRtvQTonaDVmnoKkjWVe0y1p/oXvuimN06ksaA6X1Stb5Ym6Kn2nD6ofu+ObQhaoTES1uRzKjqEmRzIjouf1hXf42ESNGhqygQxa+rjxDFq6JCEGFLPyFqN2iVhq6CpHOrZsb6E91rXxSzW0fSGDC9T6rWF2tT9FQbTj903zeHNkSNkHhpK5IZkRLAQTUnouPyRw/y1kiIFB2yigLd+HUUHzLxyqgQbI1BtR9eu7pxinD6GzO4I3eNeCkaIuM01Z/oXvt+2hQvHUljwPQ+qVpfrE0R63v8+qH7vjm0IWqkxPv4/WTEKwcyx+GLEB2Xb6pGECk8dONXVXzoqBxkFBpubOknVHIjU99LzSHbH3+NxCoa3HGa6k90r30vbYqfjqQxYHqfVK0f9LVP930z6CkzAan6lJlDvI/fT0Z0j8MXIauR0FUj8BQEpvHrqjxU+uWpDERKDdOxqOZGVF+k8BD1J6to8MJUf6K7TlR1JI2BoK4p3fKm1z7d9w9Bj91bJtU3RARBEASRjtBj9wRBEARBEIrQhoggCIIgiLSHXGZJRqIdNEF5v2wjE5euLyhZiLdfSadNUQ6D8m/xnGPtCnJQ1CInHM+W2j2orN2Ddvm5KMrPNnZA2fbAmcyRU3dLzR5U7twTMfZDvjjZscZ77myj069sHRMXnUk50Xpx5jwzlIEDrCHGd8dzCCbbPS7ZoA1RkpBoB01Q3i/byOTJxBeUKmMMsr5sm+71EdmXyI+mG7NXObfnS4SOA8q2B041P5Go+OJkx2oSW6LuXTr9ytbhuuguH4Ips/1ddCr9yN53/zLqSNw8c5nvnMteB8lwj0tW6EvVAuL1pepEO2iC8n7ZRiZPJr6gVBljkPVl2+Qh40fTjdmGg0zHAWXbA6ean0iC8F2ZxJaoe5dOv7J1TFx0Kv3I3ne95kSXZLjHxQv6UnUKkmgHTVDeL9vI5MnUF5QKYwyyvkqbPER+NF3/li0HmaoDys/n5u+B8/bSqeYnEp25UMlhUHNnG51+Zev4+eRELjqVflTuu15zokui73HJDG2IkoBEO2iC8n7ZRiZPtnxByTzGIOvrtKmKrn8rqDiCckwF4aXTzYGtHNpyp5mi069sHVWfnLt+otazKuQ2i4W+Q5QEJNpBE5T3yzYyeRJ9AizrC0rmMQZZX6dNVXT9W0HFEZRjKggvnW4ObOXQljvNFJ1+Zeuo+uTc9RO1nlUht1ks9BeiJCDRDpqgvF+2kcmTqS8oFcYYZH2VNnmI/Gi6/i1bDjJVB5Sfz83fA+ftpVPNTyQ6c6GSw6DmzjY6/crW8fPJiVx0Kv2o3He95kSXRN/jkpmU2RDdddddGDZsGPLy8lBYWChVhzGGW265Be3atUNubi5GjBiBlStXBhuoJol20ATl/bKNTJ5MfEGpMsYg68u2yfulIeNH043ZqxxPSspDxwFl2wOnmh9RrDxkx2oSW6LuXTr9ytYxcdGp9CN73/WaEzey10Ey3OOSlZR5yuzWW29FYWEhNmzYgGeeeQbV1dXCOlOmTME999yD559/Hl26dMGf//xnfPPNN/juu++Qk5Mj1W+81R2JdtAE5f2yjUxcur6gZCHefiWdNkU5DMq/xXOOtS/IResW2eF4tu3ci401u8OvmzqgbHvgTObIqeseo+x6TtTc2UanX9k6Ji46k3Ki9eLMeVZGBvY3NMT47oJyB6Yajd5lNm3aNFx33XXCDRFjDO3bt8eNN96I3//+9wCAmpoatGnTBtOmTcP5558v1R+5zAiCIAgi9aDH7v/L2rVrUVlZiREjRoRfKygowJAhQ7Bw4cIERkYQBEEQRLLRaJ8yq6ysBAC0adMm6vU2bdqE3/Ni79692Lt3b/jn2traQOJLViWGCNMj6+M5blt9uRUH7mPxbR3Lb3s8ovI8LYFMfV1VhahcbK6jFRwihYJItfDz3KnNoTtnjiZDWrUgUIjYvC7ifW/hKUASfY9z595rnYvXi//6iJf+x/Y9JLweXes43Unohuimm27ClClTfMssX74cvXv3jlNEwD333IPbb789sPYTrejQxeQoelNVQVCx6rTDw+RYflFcquMRledpCWZNPB4lrfJ86zMwLcWFTm54HFIoDMaU2T/4Kjx45Xj45dQrZ7y4eevdqz8vJYPudRHve4vf9ZFI7Y8orlkTj0cDmLea47IhmPLeCs+6idD/BHkPCTLuVCWh3yHaunUrqqqqfMt07doVTZs2Df8s+x2iNWvWoFu3bli6dCn69esXfv3EE09Ev3798Pe//92zntdfiEpKSqx9hyjRig5dTI6iN1UVBBWrTjs8TI7lF8WlOh5ReZ6WoGVeFpbecqpvfQBaigvbCg4vhYJJOV6cDryc8dqRUS3Yvi7ifW8xvT6CQhSX8xSXrJrDIRH6nyDvITrtpBqq3yFK6F+IioqKUFQU+6d6G3Tp0gVt27bFnDlzwhui2tpaLFq0CBMmTODWy87ORnZ2diAxOUe1u4k8Sj0Z/2wpG7dfOa+bTxDjtpVjXjs8ZHOhGpfqeETlZyyu4P5i31G/H68uqfCt7zcGR1UhilU1t17IylxVpK+8nPqpHHjtyJS3eV3E+95ien0EhUxcfnPjt15E69xdznSsQd9DVNtJB1LmS9UVFRUoLy9HRUUFDh48iPLycpSXl6Ouri5cpnfv3njzzTcBAKFQCNdddx3+8pe/YNasWfjmm29w8cUXo3379hg1alRCxpBoRYcuQR9Fb3PctnIcb0UCLy7V8YjKL1zr/xfZBav93/dDpKpIFmWBCHdOdVUOtuPwI973lmS41r2Ix9qSVbKYjjVe9xDZdtKBlPlS9S233ILnn38+/HP//ocOlpo7dy5OOukkAMCKFStQU1MTLjNp0iTs2rULV155Jaqrq3H88cdj9uzZ0mcQ2SbRig5dgj6K3ua4beU43ooEXlyq4xGVH9qlFWYu3ch9f1g3//f9EKkqkkVZIMKdU12Vg+04/Ij3vSUZrnUv4rG2ZJUspmON1z1Etp10IGX+QjRt2jQwxmL+OZsh4NDZQ+PGjQv/HAqFcMcdd6CyshJ79uzBf/7zH/Ts2TP+wf+XRCs6dDE9it5EVRBUrLrt8DA5lt8vLtXxiMqPGdyRe8J0y7wsjB7Y0V9j4au44KsqbCs4vBQKJuW84nTwUznw2pFRLdi8LuJ9bzG9PoJCJq6WeVlKag4H0Tp3lzMda9D3ENV20oGU2RA1FhKt6NDF5Ch6U1VBULHqtMPD5Fh+UVyq4xGV52sJjhfW11Vc6OSGB0+h4FYX8Mrx8MupV84i+3G3I6NasH1dxPve4nd9JFL7I4pr1sTjldQcDonQ/wR5D3GTCr+HgiblTqqON0GdVJ2sSgwRpkfWx3PctvoyPQ7flg7FtkqBpyWQqa+rqhCV4+XaURWIFAoi1YKp0sCtCFFVLfAUIjavi3jfW3gKkETf49y591rnsusl0fof2/cQVaVNqtLo1R3xhtQdBEEQBJF6kLqDIAiCIAhCkZR5yizdSdRx/LYVA7aOoPdrlzEmpZWQP5b/kOZBVVNherw+T4XgjkdWwcEbh06c8VK4uMfGV314Kzncr7v7m7G4AgvXVqG0W2v8amCJMGe8eGypG4K8zm3pVoJCtI7dyI7Ha250xyoboy11jeo1bqoR4vXDu04aG/SRmYBEf2SWDMfx21Bv2DqCXqbdSHSO2zcpZ6JjUFEhOHjpKvwUHKZxmitc5Pr0UmV4jVXlwMTI/iac2BVjn10c1V5mRgjTLxuCxz5a7Zkzd//un/3GIyLI61zUdqJ1QiKVjBud8TgM7doKoVD0eVsyY5WNMQh1jeo1rtufVz/3/fJo/OalL2PW/ayJpejToYCbr2SBvkNkmURviJLhOH4bioGgjo4Xtatz3L5JOZNcmeosHPwUHKZxxkvhoqLKUMX5q4/u+zLt21jHtq5zUduJ1gmJVDJudMbjh8xYZWOMl7pGRrNjsz83mRkhrLp7pJW2goS+Q9SIcI5cdy/iyCPW49Xfjvr92nHw2nWjOi6Zdt3H7fPK/lxuq2Q57/Z0cyWbIxl21O/Hq5+vF45DNU7Z9Wi6jlRVGarIrEPT9m2sYxvXuahtv3UcxD3Gjd9c76jfj09cf+XRHY8forHKxmh6fajgd40H0Z+bAw0Mry1Zb629ZIE2RElMYzmOP6ij41XalT1uf+n6HVbbc2PreH0RC9ZsM6rvFWe8FC6JUmXYxtY6NrnORW3L6laCQjTXX1ZEX4+m4/GDN1bZGIO+PtyIrvGgVTnzV5vdY5IR2hAlMY3lOP6gjo5XaVf2uP3+JS2ttufG1vH6IoZ1lTuMkIdXnPFSuCRKlWEbW+vY5DoXtS2rWwkK0Vwf2zH6ejQdjx+8scrGGPT14UZ0jQetyintZnaPSUZoQ5TEJMtx/KaKgaCOjpdpV/W4/eE9vfUUsu3p5sqGzsKhZV4WRg8qEY5DNc54KVxUVRmqyKxD0/ZtrGMb17mobVndSlD4zXXLvKyYJ6p0x+OHaKyyMZpeHyr4XeNB9OcmMyPUKJ82ow1RkpMMx/HbUAzYOoJepl1em7LH7ZuUM8mVigrBwVtXwVdwmMYZL4WLl1rBa6w6lHZvjRnjj4tpLzMjhBnjj+PmzKs8r30b69jWdW5LtxIUIpWMG53xOAzt2grDurXi1jWNMQh1jeo1rtufVz/PXDzQc93PmljqGWuqQ0+ZCUj0U2YOiTqO37ZiwNYR9H7tApDSStg6lt92rkQqBPfrsgoO3jh04oyXwsU9NlnVh6yi47Ul6zF/9baY81Vkc21b3RDkdW5LtxIUonXsRnY8XnOjO1bZGG2pa1SvcVONEK8f3nWS7NBj95ZJlg0RQRAEQRDy0GP3BEEQBEEQipC6I8kISm2RKpgqIYLoSxeR1kFVayHSVpiOwzm2PzOUgQOsQfqjCx1klQVuZYDt9fHzmEM4wJi0GkE194m4juXVFmpKl3hdo6bKGZP+da9dWXjXmmq7qioOkXpGlGtb95pkhT4yExCvj8yCUlukCqZKCJW8BK0qECszvDUoPK2FV3neMf864/DSEkT2w1Mo6KCiLBBhsj5kx6wSb1DrVRUTtYXqOgxizLrXjw0ViWnfIvzWnVud4deujopD1J8b3lqQiS9ZoO8QWSZeG6Kg1BapgqkSQiUvQasKdJUZKq/z0BmHSJPBUyjoYFMhYLI+ZMesEm9Q61UVE7WFzvq0PWZT5YxJ/0HobiJRUdL4tWtbxcHr3+/ekwq/j+g7RClIUGqLVMGGEkI2L0HrUERz6aevUHmdh+o4ZDQZXgoFHWwrBHTXh+yYX11SoRRvEOtVFbHaQqymUV2fNsdscv2YqkhM+xaNTVVJw2s3CBUHr3+/e09j/H1EG6IkICi1Rapg68h7mbwErUMJ6ph8VWTHIavJcCsUdAgqN6rrQ3bMkUb0IOOxiVhtYT6PXtgas+kaMVGRmPYtGpuuksbdbrLcYxwa0+8j2hAlAUGpLVIFW0fey+QlaB1KUMfkqyI7DllNhluhoENQuVFdH7Jjdh/gF1Q8NhGrLczn0QtbYzZdIyYqEtO+RWPTVdK4202We4xDY/p9RBuiJCAotUWqYEMJIZuXoHUoorn001eovM5DdRwymgwvhYIOthUCuutDdsyjB3ZUijeI9aqKWG0hVtOork+bYza5fkxVJKZ9i8amqqThtRuEioPXv9+9pzH+PqINUZIQlNoiVTBVQqjkJWhVga4yQ+V13o1VZxxeWoLIfngKBR1UlAUiTNaH7JhV4g1qvapiorbQWZ+2x2yqnDHpPwjdTSR+686tyPBrV0fFIerPDW+8MvGlKvSUmYB4n1QdlNoiVTBVQgTRly66ygzZ121rI5xj+7MyMrC/IdhziGTH4lYG2F4fsmM2zX0irmMTtYVf/Xhdo6bKGZP+g9DdRMJbd6rtqqo4ROoZ0Xht3WviBT12bxlSdxAEQRBE6kGP3RMEQRAEQShC6g5CC92j3G0pDGTa4ZXhHV+vGpO7HZNYI3HrKlTb0z3+XzSXke0yxgI5yl+kHpCt58Zpp7Z+P6rq9wlVIKI5MB2XaTmvsqaqDdVYZK8v2X5E+ghTIuOtqNrFUVjoaUL8+pKZb7ciRHe9yK5n0Vrh5YE3t41F7UEfmQmgj8yiER1tr3LUvM7R7zLt8MpMKuuFsc8u8j3eXiYmr+P3vRQXqmP+ZkM1znlsQVQ8mRkhzJpYij4dCrSUDKpzItuuFyZH+Xv14Z4bnRz7qRK84p9wYheMffZz7hzYGJep7kJW88NTcIjmSHedTSrribHPLhZeF379uLGhhxD1w1NY6Kg6TObbQUbZJLsGvNaz9zj9FR2TTuuJsc/Ezu30ywdjyuwfklbtQd8hsgxtiKIRHW2vctS8ztHvMu3wyoRC8L0xyMbEO37frbhQHXP3P77jGV9mRgir7h6ppWTQPf5fVvXAq6OKbB+qOVZVJfD6d+ZAlSCUNLKaH13NhO46411fPPVLvHRFupoLnRyazLdfHDr1/dazzDgj3+fNbWZGCIwhadUe9B0iIjBkjrZXOWpe9eh3mXb8yog2QzIx+R2/H6m4UB3zjMUV3PgONDBMnbtSS8mge/y/rOpBpi8RKioClRzP+LxCWZXA40ADw2tL1ku3JROfju5CRfOjo5kQqz/4agze+vVSv8RLV2SiuVDNoel8+8WhU1+lfZGiw+/e1JjUHrQhIqSRPTJe9ah52aPfZdqxdaw9LybR8fuO4kJ1zAvX+msiPl25zfd9kZJB9/h/HdWD6lH+qnMmm+OFa/TUGzzmr/afAzdBKGmCXt9i9Ue1Vn9u9Uu8dEVBai5073O6MZnWTxSppPagDREhjeyR8apHzcse/S7Tjq1j7XkxiY7fdxQXqmMe2sVfE3F8D+/D0RxESgbd4/91VA+qR/mrzplsjod21VNv8Cjt5j8HboJQ0gS9vsXqj0Kt/tzql3jpioLUXOje53RjMq2fKFJJ7UEbIkIamaPtVY6aVz36XaYdvzKik1llYvI7fj9ScaE65jGDO3Ljy8wIYeLJPbSUDLrH/8uqHmT6EqGiIlDJ8ZhBHZVVCTwyM0LKT5sFoaRR0fzoaCbE6g++GoO3fr3UL/HSFZloLlRzaDrffnHo1FdpX6To8Ls3NSa1B22ICCVER9urHDWvc/S7TDu8MrMmlgqPt5eJyev4fS/FheqYZ00sjYnHecJJpj3V/mTn0q+cbF8ivPpw50Inx36qBDel3VtjxvjjfOdAlSCUNLKaH13NhO4687q+/NQvMuvKhh5C1A/vl71ODk3m20FG2SS7BrzWsxsZRQd/bksbldqDnjITQE+ZeaN7lLsthYFMO7wyvOPrVWNyt2MSayRuXYVqe7rH/4vmMrJdAIEc5S9SD8jWc+O0s3P3AWzbtVeoAhHNgem4TMt5lTVVbajGInt9yfYj0keYEhnvhh31vgoL0xyqzre7X931IrueRWuFlwfe3Car2oMeu7cMbYgIgiAIIvWgx+4JgiAIgiAUoQ0RQRAEQRBpT8q4zO666y68/fbbKC8vR9OmTVFdXS2sM27cODz//PNRr5WVlWH27NkBRamPLceX7f7iFVc8x+/0taV2Dypr93CdZqYxBV2fF6/bi2SrX6/X3Q4jkZPJcSG1y89BUX6O8XyL3EpbavagcucetMvPRVF+dkxc7jWg6uGSxcQzZttFpvu6rGtMN4e2rz+dPk3rB+X0suWtk3W2/TzX/vcSr7nm9RHUtWWTlNkQ7du3D7/61a8wdOhQPPPMM9L1TjvtNDz33HPhn7Ozs4MITxtbji/b/cUrrniO388f5OXNEvmEVPqxWV/GY2SzXy+f07BurcCY/+GH7pj8nFGq883zyU2/bAimvLfC14/Fy5VXOZ6HSxaVnMo6+XRdZLw++a/z/VZe8cg6/mTiNbn+ZAjiGrVxDer0I7OeRN5CG3NdmJuFHsXN8fmPsYe5yngJk4GU+1L1tGnTcN1110n/hai6uhozZ87U7i/oL1XbcnzZ7i9eccVz/LpOI9WYTMek45IKMm4/z5ENdOab5yjzcyvpwPNwyaKSU1knn66LjNenyutuZLxxohzGy2km6tP0WuERtONPZj2JvIW25loF02tLBvpStYt58+ahuLgYvXr1woQJE1BVZfc4fxNsOb5s9xevuOI5fhOnkUpMpmPSdUkFGbef58gGqvPt55Pzcyvp4OXhkkU1p7JOPl0XGa9PldfdhL1xi/neOL8cxstpJtOn6bXCI2jHn2g9ie4ZNudaBZNrKyga9YbotNNOwwsvvIA5c+ZgypQp+Oijj3D66afj4MGD3Dp79+5FbW1t1L+gsOX4st1fvOKK5/iDdkDJ9mNaX9clZdpvPJCdb5FPzjZuD5csJs4q3XWUqHkUufh4OYyX00ylz6CulaAdfzx07xk8RHOtgu61FRQJ3RDddNNNCIVCvv++//577fbPP/98nH322ejbty9GjRqFf//73/j8888xb948bp177rkHBQUF4X8lJeaHsvGw5fiy3V+84orn+IN2QMn2Y1pf1yVl2m88kJ1vkU/ONm4PlywmzirddZSoeRS5+Hg5jJfTTKXPoK6VoB1/PHTvGTxEc62C7rUVFAndEN14441Yvny577+uXbta669r165o3bo1Vq1axS0zefJk1NTUhP+tX7/eWv8x8VhyfNnuL15xxXP8Jk4jlZhMx6Trkgoybj/PkQ1U59vPJ+fnVtLBy8Mli2pOZZ18ui4yXp8qr7sJe+MG871xfjmMl9NMpk/Ta4VH0I4/0XoS3TNszrUKJtdWUCR0Q1RUVITevXv7/mvatKm1/jZs2ICqqiq0a9eOWyY7Oxv5+flR/4LEluPLdn/xiiue4/fzB3l5s3RjMh2TjkuKd4Oy0a+X52hYt1ZCm7zIG6cTowPfJ8d3K/Hi8ivH83DJopJTWSefrouM16fK625E3jiZHMp6uWzeE4K4Rm1cgzr9yKwnkbfQxlwX5mZhUCfvv/jIeAmTgZR5yqyiogLbt2/HrFmzcN999+GTTz4BAHTv3h3NmzcHAPTu3Rv33HMPzjnnHNTV1eH222/HL3/5S7Rt2xarV6/GpEmTsHPnTnzzzTfSj9/HS91hy/Flu794xRXP8Tt9bdu5FxtrdnOdZqYxBV2fF6+pT0jFiSXyUPHcZO0LctG6RbbxfIvcSs4cu/vjrQFVD5csJp4x2y4y3ddlXWO6ObR9/en0aVo/KKeXLW+drLPNZK55fQR1bfnRaF1mXocsAsDcuXNx0kknAQBCoRCee+45jBs3Drt378aoUaOwdOlSVFdXo3379jj11FNx5513ok2bNtL9ksuMIAiCIFKPRrshShS0ISIIgiCI1EP193fKnFRNROM+Bt3WMffxOl7dto7ApG5QioCg1QO6qoMZiyuwcG0VSru1xq8Gyj9FGdl+RdUu33WiqhXhva+qRoi3Aoc3bl11Q6Lj94rFVAWj2l889T2yfYm1Jv7zbaraUNX38PpZtqEGq7bVKV/7Pyt3DilwnDXhqHH8fl/wYrKt8bEB/YVIQLL9hcjryHT3seg2VQi2j1e3rSOQGaeJPkGHoHUkuqqDbzZU45zHFkStlcyMEGZNLEWfDgVK/UUSuU5UlQZec8Crp9pOkAocNyI1QpDr2zamY7HRXzz1PX598e8dfNWFSJmhq9pQ1feI4pS59r1+L/Bw/77gjWHSaT0x9pnF1jUnXtBHZpZJtg2RzJHpNlUIto9Xt60jkBmniT5Bh6B1JLqqg+5/fMfTJZaZEcKqu0ca9eesE1WlgQ0tSJBzKYtIjRDk+raN6Vhs9BdPfY9fXzo6G5EyQ1e1oarvkbm+RNe+qqIj8vcFbwyhEDzvQ877Nued1B2NGD9lQSQ2VQg2j1cPQkcgGqeJPkGHoHUkuqqDGYsruDehAw0Mry3xPm9Ltr8d9fvx6pIKZaWBDS1IUHMpiyhHQa5v25iOxVZ/8dT38PrS1dmIlBm6qo2f399qpPSIxO/al/19E4nz+8Ivd7z7kPN+vNd8JLQhSiFUlQW2VAi2jlcPSkfgN854HbMv25+pekBXdSA6bn/+6m3G/S1YnTyewEhsK3DcyOYoiPVtG9Ox2O4vnvoed1+m6gxdZYao3tL1dnUXvGtfV5HzZcUO49zFc81HQhuiFEJVWWBLhWDrePWgdAR+44zXMfuy/ZmqB3RVB6Lj9ku7eR/KptLfsG72jvS3iW0FjhvZHAWxvm1jOhbb/cVT3+Puy1SdoavMENXrX2JXd8G79nUVOcd2bGmcu3iu+UhoQ5RC+CkLIrGpQrB5vHoQOgLROE30CToErSPRVR2MGdyRe1J0ZkaI+8SJbH8t87IwemBHZaWBDS1IUHMpiyhHQa5v25iOxVZ/8dT38PrS1dmIlBm6qo2f3y8yUnpE4nfty/6+icT5feGXO959yHk/3ms+EtoQpRheR6a7F5hdFYLd49Vt6whkxmmiT9AhaB2Jrupg1sTSmLXiPGmi2p+7b2edqCoN/JQBXutRpZ0gFThuRGqEINe3bUzHYqO/eOp7/PpSuXd4tad777Gh7xHFKXPte/1e4OH+fcEfe2kgmhMb0FNmApLtKTMH9zHoto65j9fx6rZ1BCZ1g1IEBK0e0FUdvLZkPeav3qZ8Fklk+xt21PuuE1WlAe993XYSdaaJqboh0fF7xWJbQyHqL576Htm+ZLUmspod2Th09T28fpZvrMUPW3YqX/tu5Y4zXrf6RiV3tjU+XtBj95ZJ1g0RQRAEQRB86LF7giAIgiAIRUjdkSASfUS/af+62gjbOgCZft1l4qUnceCpMnRzKKrv1giYzpXKHOmqCHhz4h6TSP2hq0CQxfZ169VevO8NtnUj8VLk6KxjxpjV+56t+rYUHe7yzvWiqhaRbd9P3SHUiPxUg1Vb69CjqAX6dMhPio+J6SMzAbY/Mkv0Ef2m/etqI2zrAGTG4VXGrTkJQk/iwFNlTL9sCB77aLVyDh1U9Bgi/YXsXInmSEc1MLxHESaV9cLYZxfFxDj98sGYMvsHri7Eqe+lJlBRIMhi+7r1am9Yt1ZgDFi45ufznIK8NwShG/HWR9jVqsjOhUg5Y3rfs1FfZ/36XcOiMQfZvnMvbZGbqaw78erLBvQdIsvY3hAl+oh+0/51tRG2dQAy45DVSNjWkzjwVBlOrKo5dFDRY4iQnSvRHOmoBvyO8c/MCIExaKkJVBQIsti+bmXnMMh7QxC6Ea92bGtVZOdCFJ/pfc9GfZ316zeORJdvmZeFvh0KlXUnXn3ZgL5DlMQk+oh+0/51tRG2dQAy45CNFbCrJ3HwU2UA/r/onfdVdAK6yM6V3xyJ6vipCPx0IrpqApHiIIj1poLKHAZ1bwhKN+LVjk2tiuxcyMRnet+zUV9n/fLGkQzld9Tv19KduPsidUcakOgj+k3719VG2NYByIxDNVZbehIHkSpDFts6AVE/OmtEVEdXYWCKSHFgc72poDOHtu8NQetGZLGdO9V7jkwM8b5vOqgqOpKtvAmk7kgDEn1Ev2n/utoI2zoAmXGoxmpLT+IgUmXIYlsnIOpHZ42I6ugqDEwRKQ5srjcVdObQ9r0haN2ILLZzp3rPkYkh3vdNB1VFR7KVN4HUHWlAoo/oN+1fVxthWwcgMw7ZWAG7ehIHP1UGAOUcOqiMSwbZufKbI1EdPxWBn05EV00gUhwEsd5UUJnDoO4NQelGvNqxqVWRnQuZ+Ezvezbq66xf3jiSoXzLvCwt3Ym7L1J3pAmJPqLftH9dbYRtHYDMOLzKuH8BB6EnceCpMmaMP04rhw4qegyR/kJ2rkRzpKMa4B3jf2hOSn11IT/XN1MgyGL7uvVqb1i3VhjaNfovi0HeG4LQjcjqI2znTvWeoxpDEPdN3fXrdw2Lxhxk+869VEd34tVXIqCnzAQEdVJ1oo/oN+1fVxthWwcg06+7TLz0JA48VYZuDkX1ZfUXsnOlMke6KgLenLjHpKvssHW92b5uvdqL973Btm4kXoocnXUMwOp9z1Z9W4oOd3nRdWPavp+6Q1Yj0rO4BY5oH8w5RPTYvWVI3UEQBEEQqQc9dk8QBEEQBKEIbYgIgiAIgkh7aENEEARBEETaQxsigiAIgiDSHtoQEQRBEASR9tCGiCAIgiCItIc2RARBEARBpD20ISIIgiAIIu2hDRFBEARBEGkPbYgIgiAIgkh7MhMdQLLjmE1qa2sTHAlBEARBELI4v7dlDWW0IRKwc+dOAEBJSYmgJEEQBEEQycbOnTtRUFAgLEdyVwENDQ3YuHEjWrRogVAolOhwUo7a2lqUlJRg/fr1JMdNMDQXyQPNRXJA85A8BDEXjDHs3LkT7du3R0aG+BtC9BciARkZGTj88MMTHUbKk5+fTzecJIHmInmguUgOaB6SB9tzIfOXIQf6UjVBEARBEGkPbYgIgiAIgkh7aENEBEp2djZuvfVWZGdnJzqUtIfmInmguUgOaB6Sh2SYC/pSNUEQBEEQaQ/9hYggCIIgiLSHNkQEQRAEQaQ9tCEiCIIgCCLtoQ0RQRAEQRBpD22ICF9uu+02hEKhqH+9e/cOv79nzx5MnDgRrVq1QvPmzfHLX/4SmzdvjmqjoqICZ5xxBvLy8lBcXIw//OEPOHDgQFSZefPm4dhjj0V2dja6d++OadOmxWN4Sc3HH3+Ms846C+3bt0coFMLMmTOj3meM4ZZbbkG7du2Qm5uLESNGYOXKlVFltm/fjosuugj5+fkoLCzE5Zdfjrq6uqgyX3/9NU444QTk5OSgpKQE9957b0wsr732Gnr37o2cnBz07dsX77zzjvXxJjOiuRg3blzMdXLaaadFlaG5sMM999yDQYMGoUWLFiguLsaoUaOwYsWKqDLxvC9NnToVnTt3Rk5ODoYMGYLFixdbH3MyIjMPJ510Usx18Zvf/CaqTFLNAyMIH2699VZ25JFHsk2bNoX/bd26Nfz+b37zG1ZSUsLmzJnDlixZwo477jg2bNiw8PsHDhxgRx11FBsxYgRbunQpe+edd1jr1q3Z5MmTw2XWrFnD8vLy2A033MC+++479sgjj7AmTZqw2bNnx3WsycY777zD/vSnP7E33niDAWBvvvlm1Pt//etfWUFBAZs5cyb76quv2Nlnn826dOnCdu/eHS5z2mmnsWOOOYZ99tln7JNPPmHdu3dnF1xwQfj9mpoa1qZNG3bRRRexb7/9lr3yyissNzeXPfnkk+Ey8+fPZ02aNGH33nsv++6779jNN9/MsrKy2DfffBN4DpIF0Vxccskl7LTTTou6TrZv3x5VhubCDmVlZey5555j3377LSsvL2cjR45kHTt2ZHV1deEy8bov/eMf/2BNmzZlzz77LFu2bBkbP348KywsZJs3b45PMhKIzDyceOKJbPz48VHXRU1NTfj9ZJsH2hARvtx6663smGOO8XyvurqaZWVlsddeey382vLlyxkAtnDhQsbYoV8kGRkZrLKyMlzm8ccfZ/n5+Wzv3r2MMcYmTZrEjjzyyKi2x4wZw8rKyiyPJnVx/xJuaGhgbdu2Zffdd1/4terqapadnc1eeeUVxhhj3333HQPAPv/883CZd999l4VCIfbTTz8xxhh77LHHWMuWLcNzwRhj//u//8t69eoV/nn06NHsjDPOiIpnyJAh7KqrrrI6xlSBtyH6f//v/3Hr0FwEx5YtWxgA9tFHHzHG4ntfGjx4MJs4cWL454MHD7L27duze+65x/5Akxz3PDB2aEP0u9/9jlsn2eaBPjIjhKxcuRLt27dH165dcdFFF6GiogIA8MUXX2D//v0YMWJEuGzv3r3RsWNHLFy4EACwcOFC9O3bF23atAmXKSsrQ21tLZYtWxYuE9mGU8Zpg4hl7dq1qKysjMpbQUEBhgwZEpX7wsJCDBw4MFxmxIgRyMjIwKJFi8Jlhg8fjqZNm4bLlJWVYcWKFdixY0e4DM2PmHnz5qG4uBi9evXChAkTUFVVFX6P5iI4ampqAACHHXYYgPjdl/bt24cvvvgiqkxGRgZGjBiRlvPhngeHl156Ca1bt8ZRRx2FyZMno76+Pvxess0DyV0JX4YMGYJp06ahV69e2LRpE26//XaccMIJ+Pbbb1FZWYmmTZuisLAwqk6bNm1QWVkJAKisrIxa7M77znt+ZWpra7F7927k5uYGNLrUxcmdV94i81pcXBz1fmZmJg477LCoMl26dIlpw3mvZcuW3Plx2iCA0047Deeeey66dOmC1atX449//CNOP/10LFy4EE2aNKG5CIiGhgZcd911KC0txVFHHQUAcbsv7dixAwcPHvQs8/3331sbYyrgNQ8AcOGFF6JTp05o3749vv76a/zv//4vVqxYgTfeeANA8s0DbYgIX04//fTw/z/66KMxZMgQdOrUCa+++iptVAjiv5x//vnh/9+3b18cffTR6NatG+bNm4dTTjklgZE1biZOnIhvv/0Wn376aaJDSWt483DllVeG/3/fvn3Rrl07nHLKKVi9ejW6desW7zCF0EdmhBKFhYXo2bMnVq1ahbZt22Lfvn2orq6OKrN582a0bdsWANC2bduYpzucn0Vl8vPzadPFwcmdV94i87ply5ao9w8cOIDt27dbmR/nfSKWrl27onXr1li1ahUAmosguOaaa/Dvf/8bc+fOxeGHHx5+PV73pdatW6NJkyZpPx+8efBiyJAhABB1XSTTPNCGiFCirq4Oq1evRrt27TBgwABkZWVhzpw54fdXrFiBiooKDB06FAAwdOhQfPPNN1G/DD744APk5+ejT58+4TKRbThlnDaIWLp06YK2bdtG5a22thaLFi2Kyn11dTW++OKLcJkPP/wQDQ0N4RvT0KFD8fHHH2P//v3hMh988AF69eqFli1bhsvQ/KixYcMGVFVVoV27dgBoLmzCGMM111yDN998Ex9++GHMx4zxui81bdoUAwYMiCrT0NCAOXPmpMV8iObBi/LycgCIui6Sah6UvoJNpB033ngjmzdvHlu7di2bP38+GzFiBGvdujXbsmULY+zQ460dO3ZkH374IVuyZAkbOnQoGzp0aLi+81jlqaeeysrLy9ns2bNZUVGR52OVf/jDH9jy5cvZ1KlT6bF7xtjOnTvZ0qVL2dKlSxkA9sADD7ClS5eyH3/8kTF26LH7wsJC9tZbb7Gvv/6a/b//9/88H7vv378/W7RoEfv0009Zjx49oh71rq6uZm3atGFjx45l3377LfvHP/7B8vLyYh71zszMZH/729/Y8uXL2a233pp2j3r7zcXOnTvZ73//e7Zw4UK2du1a9p///Icde+yxrEePHmzPnj3hNmgu7DBhwgRWUFDA5s2bF/U4d319fbhMvO5L//jHP1h2djabNm0a++6779iVV17JCgsLo56aaqyI5mHVqlXsjjvuYEuWLGFr165lb731FuvatSsbPnx4uI1kmwfaEBG+jBkzhrVr1441bdqUdejQgY0ZM4atWrUq/P7u3bvZ1VdfzVq2bMny8vLYOeecwzZt2hTVxrp169jpp5/OcnNzWevWrdmNN97I9u/fH1Vm7ty5rF+/fqxp06asa9eu7LnnnovH8JKauXPnMgAx/y655BLG2KFH7//85z+zNm3asOzsbHbKKaewFStWRLVRVVXFLrjgAta8eXOWn5/PLr30UrZz586oMl999RU7/vjjWXZ2NuvQoQP761//GhPLq6++ynr27MmaNm3KjjzySPb2228HNu5kxG8u6uvr2amnnsqKiopYVlYW69SpExs/fnzMzZjmwg5e8wAg6p4Rz/vSI488wjp27MiaNm3KBg8ezD777LMghp10iOahoqKCDR8+nB122GEsOzubde/enf3hD3+IOoeIseSah9B/B0YQBEEQBJG20HeICIIgCIJIe2hDRBAEQRBE2kMbIoIgCIIg0h7aEBEEQRAEkfbQhoggCIIgiLSHNkQEQRAEQaQ9tCEiCIIgCCLtoQ0RQRAEQRBpD22ICIJIOiorK3Httdeia9euyM7ORklJCc4666wYp1EqEAqFMHPmzESHQRCEgMxEB0AQBBHJunXrUFpaisLCQtx3333o27cv9u/fj/feew8TJ07E999/r9XuwYMHEQqFkJFB/x1IEEQsdGcgCCKpuPrqqxEKhbB48WL88pe/RM+ePXHkkUfihhtuwGeffRYu98ADD6Bv375o1qwZSkpKcPXVV6Ouri78/rRp01BYWIhZs2ahT58+yM7ORkVFhWefy5Ytw5lnnon8/Hy0aNECJ5xwAlavXg3gkDn7jjvuwOGHH47s7Gz069cPs2fPDtfdt28frrnmGrRr1w45OTno1KkT7rnnHgBA586dAQDnnHMOQqFQ+GeCIJIP2hARBJE0bN++HbNnz8bEiRPRrFmzmPcLCwvD/z8jIwMPP/wwli1bhueffx4ffvghJk2aFFW+vr4eU6ZMwdNPP41ly5ahuLg4ps2ffvoJw4cPR3Z2Nj788EN88cUXuOyyy3DgwAEAwN///nfcf//9+Nvf/oavv/4aZWVlOPvss7Fy5UoAwMMPP4xZs2bh1VdfxYoVK/DSSy+FNz6ff/45AOC5557Dpk2bwj8TBJGEKOtgCYIgAmLRokUMAHvjjTeU67722musVatW4Z+fe+45BoCVl5f71ps8eTLr0qUL27dvn+f77du3Z3fddVfUa4MGDWJXX301Y4yxa6+9lv3iF79gDQ0NnvUBsDfffFNhJARBJAL6CxFBEEkDY0y67H/+8x+ccsop6NChA1q0aIGxY8eiqqoK9fX14TJNmzbF0Ucf7dtOeXk5TjjhBGRlZcW8V1tbi40bN6K0tDTq9dLSUixfvhwAMG7cOJSXl6NXr1747W9/i/fff196DARBJA+0ISIIImno0aMHQqGQ8IvT69atw5lnnomjjz4ar7/+Or744gtMnToVwKHv9Djk5uYiFAr5tpWbm2sU87HHHou1a9fizjvvxO7duzF69Gicd955Rm0SBBF/aENEEETScNhhh6GsrAxTp07Frl27Yt6vrq4GAHzxxRdoaGjA/fffj+OOOw49e/bExo0btfo8+uij8cknn2D//v0x7+Xn56N9+/aYP39+1Ovz589Hnz59osqNGTMGTz31FGbMmIHXX38d27dvBwBkZWXh4MGDWrERBBE/aENEEERSMXXqVBw8eBCDBw/G66+/jpUrV2L58uV4+OGHMXToUABA9+7dsX//fjzyyCNYs2YNXnzxRTzxxBNa/V1zzTWora3F+eefjyVLlmDlypV48cUXsWLFCgDAH/7wB0yZMgUzZszAihUrcNNNN6G8vBy/+93vABx62u2VV17B999/jx9++AGvvfYa2rZtG/4CeOfOnTFnzhxUVlZix44d5gkiCCIYEv0lJoIgCDcbN25kEydOZJ06dWJNmzZlHTp0YGeffTabO3duuMwDDzzA2rVrx3Jzc1lZWRl74YUXGAC2Y8cOxtihL1UXFBRI9ffVV1+xU089leXl5bEWLVqwE044ga1evZoxxtjBgwfZbbfdxjp06MCysrLYMcccw959991w3f/7v/9j/fr1Y82aNWP5+fnslFNOYV9++WX4/VmzZrHu3buzzMxM1qlTJ9PUEAQRECHGFL7FSBAEQRAE0Qihj8wIgiAIgkh7aENEEARBEETaQxsigiAIgiDSHtoQEQRBEASR9tCGiCAIgiCItIc2RARBEARBpD20ISIIgiAIIu2hDRFBEARBEGkPbYgIgiAIgkh7aENEEARBEETaQxsigiAIgiDSHtoQEQRBEASR9vx/DqExkYjgABEAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.plot(x = 'Car cost', y = 'Age', kind = 'scatter', title = 'Dependence of the Target on Age')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Как видно линейно эти данные практически независимы. Коэффициент корреляции между ними порядка $0.036$. На первый взгляд, данные предиктор кажется бесполезным. Однако, не будем торопиться с выводами и оценим влияние возраста еще раз, предварительно просегментировав данные по полу. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Dependence of the Target on Age for Female'}, xlabel='Car cost', ylabel='Age'>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[data['Gender'] == 1].plot(x = 'Car cost', y = 'Age', kind = 'scatter', title = 'Dependence of the Target on Age for Female')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Здесь же мы видим, что зависимость сильная. Кроме того для разных полов она противоположная, что вполне логично учитывая, что на исходных данных никакой взаимосвязи не наблюдалось. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Dependence of the Target on Age for Male'}, xlabel='Car cost', ylabel='Age'>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[data['Gender'] == 0].plot(x = 'Car cost', y = 'Age', kind = 'scatter', title = 'Dependence of the Target on Age for Male')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Зависимость таргета от производителя. \n",
    "\n",
    "Для удобства представления, вернемся к исходной категориальной переменной."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "'Car maker_AUDI'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "File \u001b[1;32mc:\\users\\func\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\pandas\\core\\indexes\\base.py:3652\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m   3651\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m-> 3652\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_engine\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcasted_key\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   3653\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n",
      "File \u001b[1;32mc:\\users\\func\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\pandas\\_libs\\index.pyx:147\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32mc:\\users\\func\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\pandas\\_libs\\index.pyx:176\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi:7080\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi:7088\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;31mKeyError\u001b[0m: 'Car maker_AUDI'",
      "\nThe above exception was the direct cause of the following exception:\n",
      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[64], line 3\u001b[0m\n\u001b[0;32m      1\u001b[0m data2 \u001b[38;5;241m=\u001b[39m data[[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mCar cost\u001b[39m\u001b[38;5;124m'\u001b[39m]]\n\u001b[1;32m----> 3\u001b[0m data2[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mMaker\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[43mdata\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mCar maker_AUDI\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m2\u001b[39m \u001b[38;5;241m*\u001b[39m data[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mCar maker_BMW\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m3\u001b[39m \u001b[38;5;241m*\u001b[39m data[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mCar maker_MAZDA\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m+\u001b[39m\\\n\u001b[0;32m      4\u001b[0m                 \u001b[38;5;241m4\u001b[39m \u001b[38;5;241m*\u001b[39m data[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mCar maker_OPEL\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m5\u001b[39m \u001b[38;5;241m*\u001b[39m data[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mCar maker_LADA\u001b[39m\u001b[38;5;124m'\u001b[39m]  \n\u001b[0;32m      6\u001b[0m data2\u001b[38;5;241m.\u001b[39mMaker\u001b[38;5;241m.\u001b[39mreplace([\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m2\u001b[39m, \u001b[38;5;241m3\u001b[39m, \u001b[38;5;241m4\u001b[39m, \u001b[38;5;241m5\u001b[39m], [\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mAUDI\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mBMW\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mMAZDA\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mOPEL\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mLADA\u001b[39m\u001b[38;5;124m'\u001b[39m], inplace \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[0;32m      8\u001b[0m sns\u001b[38;5;241m.\u001b[39mboxplot(y \u001b[38;5;241m=\u001b[39m data2[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mCar cost\u001b[39m\u001b[38;5;124m'\u001b[39m], x \u001b[38;5;241m=\u001b[39m data2[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mMaker\u001b[39m\u001b[38;5;124m'\u001b[39m])\u001b[38;5;241m.\u001b[39mset(xlabel \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mu\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mПроизводитель\u001b[39m\u001b[38;5;124m'\u001b[39m, ylabel \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mu\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mСтоимость\u001b[39m\u001b[38;5;124m'\u001b[39m)\n",
      "File \u001b[1;32mc:\\users\\func\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\pandas\\core\\frame.py:3761\u001b[0m, in \u001b[0;36mDataFrame.__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m   3759\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcolumns\u001b[38;5;241m.\u001b[39mnlevels \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[0;32m   3760\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_getitem_multilevel(key)\n\u001b[1;32m-> 3761\u001b[0m indexer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcolumns\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   3762\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m is_integer(indexer):\n\u001b[0;32m   3763\u001b[0m     indexer \u001b[38;5;241m=\u001b[39m [indexer]\n",
      "File \u001b[1;32mc:\\users\\func\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\pandas\\core\\indexes\\base.py:3654\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m   3652\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_engine\u001b[38;5;241m.\u001b[39mget_loc(casted_key)\n\u001b[0;32m   3653\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[1;32m-> 3654\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(key) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01merr\u001b[39;00m\n\u001b[0;32m   3655\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[0;32m   3656\u001b[0m     \u001b[38;5;66;03m# If we have a listlike key, _check_indexing_error will raise\u001b[39;00m\n\u001b[0;32m   3657\u001b[0m     \u001b[38;5;66;03m#  InvalidIndexError. Otherwise we fall through and re-raise\u001b[39;00m\n\u001b[0;32m   3658\u001b[0m     \u001b[38;5;66;03m#  the TypeError.\u001b[39;00m\n\u001b[0;32m   3659\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_check_indexing_error(key)\n",
      "\u001b[1;31mKeyError\u001b[0m: 'Car maker_AUDI'"
     ]
    }
   ],
   "source": [
    "data2 = data[['Car cost']]\n",
    "\n",
    "data2['Maker'] = data['Car maker_AUDI'] + 2 * data['Car maker_BMW'] + 3 * data['Car maker_MAZDA'] +\\\n",
    "                4 * data['Car maker_OPEL'] + 5 * data['Car maker_LADA']  \n",
    "\n",
    "data2.Maker.replace([1, 2, 3, 4, 5], ['AUDI', 'BMW', 'MAZDA', 'OPEL', 'LADA'], inplace = True)\n",
    "\n",
    "sns.boxplot(y = data2['Car cost'], x = data2['Maker']).set(xlabel = u'Производитель', ylabel = u'Стоимость')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "В данном случае, мы получили, что распределение стоимости для марок AUDI и BMW совпадает. Поэтому соответствующие два признака можно объединить в один. Также из графика можно увидеть наличие выбросов по этим производителям. Избавимся от них. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gender</th>\n",
       "      <th>Car cost</th>\n",
       "      <th>Car maker_LADA</th>\n",
       "      <th>Car maker_MAZDA</th>\n",
       "      <th>Car maker_OPEL</th>\n",
       "      <th>Age</th>\n",
       "      <th>Income</th>\n",
       "      <th>Car maker_AUDI_BMW</th>\n",
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       "      <th>3</th>\n",
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       "      <td>8400.0</td>\n",
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       "      <th>4</th>\n",
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       "      <td>4400.0</td>\n",
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       "      <td>-1.464947</td>\n",
       "      <td>False</td>\n",
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       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "   Gender  Car cost  Car maker_LADA  Car maker_MAZDA  Car maker_OPEL   \n",
       "0       1   17200.0           False            False           False  \\\n",
       "1       0   17600.0           False            False           False   \n",
       "2       0   20100.0           False            False           False   \n",
       "3       1    8400.0           False             True           False   \n",
       "4       1    4400.0            True            False           False   \n",
       "\n",
       "        Age    Income  Car maker_AUDI_BMW  \n",
       "0  1.365523 -0.192236                True  \n",
       "1 -1.715686 -1.040710                True  \n",
       "2 -0.802735  0.328419                True  \n",
       "3 -0.232141 -1.214261               False  \n",
       "4 -1.030973 -1.464947               False  "
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Car maker_AUDI_BMW'] = data['Car maker_BMW'] + data['Car maker_AUDI']\n",
    "data.drop(['Car maker_BMW', 'Car maker_AUDI'], axis = 1, inplace = True)\n",
    "\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'Производитель'), Text(0, 0.5, 'Стоимость')]"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(y = data['Car cost'], x = data['Car maker_AUDI_BMW']).set(xlabel = u'Производитель', ylabel = u'Стоимость')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Q1 = 13400.0\n",
      "Q3 = 19500.0\n",
      "IQR = 6100.0\n",
      "Q1 - 1.5 IQR = 4250.0\n",
      "Q3 + 1.5 IQR = 28650.0\n"
     ]
    }
   ],
   "source": [
    "Q1_IQR, Q3_IQR = get_Q1_Q3_IDR(data[data['Car maker_AUDI_BMW'] == 1], 'Car cost')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "data2 = del_outliers(data[data['Car maker_AUDI_BMW'] == 1], Q1_IQR, Q3_IQR, 'Car cost')\n",
    "data = pd.concat([data[data['Car maker_AUDI_BMW'] == 0], data2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 1980 entries, 3 to 1621\n",
      "Data columns (total 8 columns):\n",
      " #   Column              Non-Null Count  Dtype  \n",
      "---  ------              --------------  -----  \n",
      " 0   Gender              1980 non-null   int64  \n",
      " 1   Car cost            1980 non-null   float64\n",
      " 2   Car maker_LADA      1980 non-null   bool   \n",
      " 3   Car maker_MAZDA     1980 non-null   bool   \n",
      " 4   Car maker_OPEL      1980 non-null   bool   \n",
      " 5   Age                 1980 non-null   float64\n",
      " 6   Income              1980 non-null   float64\n",
      " 7   Car maker_AUDI_BMW  1980 non-null   bool   \n",
      "dtypes: bool(4), float64(3), int64(1)\n",
      "memory usage: 85.1 KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Проверим, что выбросов не осталось"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'Производитель'), Text(0, 0.5, 'Стоимость')]"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(y = data['Car cost'], x = data['Car maker_AUDI_BMW']).set(xlabel = u'Производитель', ylabel = u'Стоимость')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Расчет корреляций"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Оцифруем линейную зависимость между переменными и посмотрим на 2 вещи:\n",
    "\n",
    "- Есть ли признаки, слабо влияющие на целевую переменную. При наличии таковых, их можно выбросить либо подумать над их модификацией, например, переходу к спрямляющему пространству, с целью увеличения зависимости. \n",
    "\n",
    "\n",
    "- Есть ли среди предикторов линейно зависимые. Наличие линейно зависимых признаков приводит к проблеме мультиколлинеарности, о которой было упомянуто ранее. В этом случае, из линейно зависимых признаков нужно оставить один. Например, взяв признак с наибольшей линейной зависимостью с таргетом. Либо последовательно обучив модель с каждым из признаков в отдельности и выбрав тот, с которым качество модели наилучшее. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplots(figsize = (15, 8))\n",
    "sns.heatmap(data.corr(), annot = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "У таргета наименьшая линейная зависимость наблюдается с возрастом. Но, как было показано выше, данная проблема решается сегментацией модели по полу. После разбиения выборки на две, корреляция между стоимостью и возрастом будет равна $-0.6$ и $0.57$ соответственно. Среди предикторов наибольший коэффициент линейной зависимости равен $0.57$, что является вполне допустимым."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplots(figsize = (15, 8))\n",
    "sns.heatmap(data.drop('Gender', axis = 1)[data.Gender == 0].corr(), annot = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1500x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplots(figsize = (15, 8))\n",
    "sns.heatmap(data.drop('Gender', axis = 1)[data.Gender == 1].corr(), annot = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Построение модели\n",
    "\n",
    "Рассмотрим 2 случая:\n",
    "- Построим одну модель без сегментации по полу\n",
    "- Построим 2 модели, просегментировав данные по полу"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "drop() takes from 1 to 2 positional arguments but 3 were given",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[61], line 5\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[38;5;66;03m# Перемешаем данные и отделим целевую переменную от предикторов\u001b[39;00m\n\u001b[0;32m      3\u001b[0m data \u001b[38;5;241m=\u001b[39m shuffle(data, random_state \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m123\u001b[39m)\n\u001b[1;32m----> 5\u001b[0m X \u001b[38;5;241m=\u001b[39m \u001b[43mdata\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdrop\u001b[49m\u001b[43m(\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mCar cost\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[0;32m      6\u001b[0m Y \u001b[38;5;241m=\u001b[39m data[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mCar cost\u001b[39m\u001b[38;5;124m'\u001b[39m]\n",
      "\u001b[1;31mTypeError\u001b[0m: drop() takes from 1 to 2 positional arguments but 3 were given"
     ]
    }
   ],
   "source": [
    "from sklearn.utils import shuffle\n",
    "# Перемешаем данные и отделим целевую переменную от предикторов\n",
    "data = shuffle(data, random_state = 123)\n",
    "\n",
    "X = data.drop(['Car cost'], 1)\n",
    "Y = data['Car cost']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "#Разделим выборку на две части \n",
    "X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size = 0.3, \n",
    "            stratify = X[['Gender', 'Car maker_AUDI_BMW', 'Car maker_OPEL', 'Car maker_MAZDA', 'Car maker_LADA']], \n",
    "            random_state = 123)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Посмотрим на ошибку на кросс - валидации и сравним ее со случаем деления выборки на две части"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import cross_val_score\n",
    "from sklearn import linear_model, metrics\n",
    "\n",
    "cv_scores = cross_val_score(linear_model.LinearRegression(), \n",
    "                            X_train, Y_train, \n",
    "                            cv = 3, \n",
    "                            scoring = \"neg_root_mean_squared_error\")\n",
    "\n",
    "for scores in cv_scores:\n",
    "    print(scores)\n",
    "print(\"Mean CV RMSE = %.4f\" % np.mean(-cv_scores))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Случай 1:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def build_model(model, modelName, X_train, Y_train, X_test, Y_test, peremList):\n",
    "    model.fit(X_train, Y_train)\n",
    "    \n",
    "    pred_test = model.predict(X_test)\n",
    "    rmse_test = np.sqrt(metrics.mean_squared_error(Y_test, pred_test))\n",
    "    r2_test = metrics.r2_score(Y_test, pred_test)\n",
    "                                    \n",
    "    pred_train = model.predict(X_train)\n",
    "    rmse_train = np.sqrt(metrics.mean_squared_error(Y_train, pred_train))\n",
    "    r2_train = metrics.r2_score(Y_train, pred_train)\n",
    "\n",
    "    print(10 * '-' + modelName + 10 * '-')\n",
    "    print('TRAIN:   RMSE = {:.2f}, R^2 = {:.2f}'.format(rmse_train, r2_train)) \n",
    "    print(\"TEST:    RMSE = {:.2f}, R^2 = {:.2f}\".format(rmse_test, r2_test)) \n",
    "    \n",
    "    print('y = {:.2f}'.format(model.intercept_), end = '')\n",
    "    for ind, perem in enumerate(peremList):\n",
    "        print(\" + {:.2f} *\".format(model.coef_[ind]), end = ' ')\n",
    "        print(perem, end = ' ')\n",
    "        if ((ind + 1) % 4 == 0):\n",
    "            print(\"\\n    \", end = '')\n",
    "    print()\n",
    "    print()\n",
    "    \n",
    "\n",
    "modelList = [linear_model.LinearRegression(), \n",
    "             linear_model.Lasso(alpha = 0.5),\n",
    "             linear_model.Lasso(alpha = 4.0),\n",
    "             linear_model.Lasso(alpha = 10.0),\n",
    "             linear_model.Ridge(alpha = 0.5),\n",
    "             linear_model.Ridge(alpha = 4.0),\n",
    "             linear_model.Ridge(alpha = 10.0),\n",
    "             linear_model.HuberRegressor(epsilon = 1),\n",
    "             linear_model.HuberRegressor(epsilon = 5)]\n",
    "\n",
    "modelNameList = ['LinREg',\n",
    "                 'Lasso(alpha = 0.5)', \n",
    "                 'Lasso(alpha = 4.0)',\n",
    "                 'Lasso(alpha = 10.0)',\n",
    "                 'Ridge(alpha = 0.5)', \n",
    "                 'Ridge(alpha = 4.0)',\n",
    "                 'Ridge(alpha = 10.0)',\n",
    "                 'Huber(epsilon = 1.0)',\n",
    "                 'Huber(epsilon = 5.0)']\n",
    "\n",
    "for model, modelName in zip(modelList, modelNameList):\n",
    "    build_model(model, modelName, X_train, Y_train, X_test, Y_test, list(X_train.columns))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Полученные результаты хорошо демонстрируют свойство $L_{1}$ регуляризатора - обнуление весов при незначимых признаках."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Случай 2:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Модель 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_male = X[X.Gender == 0].drop('Gender', axis = 1)\n",
    "\n",
    "X_train_male = X_male[list(map(lambda z: z in X_train.index, X_male.index))]\n",
    "X_train_male.sort_index(inplace = True)\n",
    "\n",
    "X_test_male = X_male[list(map(lambda z: z in X_test.index, X_male.index))]\n",
    "X_test_male.sort_index(inplace = True)\n",
    "\n",
    "Y_train_male = Y_train[list(map(lambda z: z in X_train_male.index, Y_train.index))]\n",
    "Y_train_male.sort_index(inplace = True)\n",
    "\n",
    "Y_test_male = Y_test[list(map(lambda z: z in X_test_male.index, Y_test.index))]\n",
    "Y_test_male.sort_index(inplace = True)\n",
    "\n",
    "for model, modelName in zip(modelList, modelNameList):\n",
    "    build_model(model, modelName, X_train_male, Y_train_male, X_test_male, Y_test_male, list(X_train_male.columns))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Модель 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_female = X[X.Gender == 1].drop('Gender', axis = 1)\n",
    "\n",
    "X_train_female = X_female[list(map(lambda z: z in X_train.index, X_female.index))]\n",
    "X_train_female.sort_index(inplace = True)\n",
    "\n",
    "X_test_female = X_female[list(map(lambda z: z in X_test.index, X_female.index))]\n",
    "X_test_female.sort_index(inplace = True)\n",
    "\n",
    "Y_train_female = Y_train[list(map(lambda z: z in X_train_female.index, Y_train.index))]\n",
    "Y_train_female.sort_index(inplace = True)\n",
    "\n",
    "Y_test_female = Y_test[list(map(lambda z: z in X_test_female.index, Y_test.index))]\n",
    "Y_test_female.sort_index(inplace = True)\n",
    "\n",
    "for model, modelName in zip(modelList, modelNameList):\n",
    "    build_model(model, modelName, X_train_female, Y_train_female, X_test_female, Y_test_female, list(X_train_female.columns))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "После сегментации выборки по полу, качество модели заметно повысилось. Учитывая, что распределение выборки по полу равномерное, то для расчета RMSE по полной выборке можно взять среднее лучших моделей по каждому из сегментов."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "data.groupby(by = 'Gender').agg({'Gender': 'count'})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Напоследок вспомним, что коэффициент регуляризации является гиперпараметром и покажем как можно искать для него оптимальное значение. \n",
    "\n",
    "Один из возможных вариантов поиска - поиск по сетке. В `sklearn.model_selection` для этого реализованы два метода: [`GridSearchCV`](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html) и [`RandomizedSearchCV`](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html).\n",
    "\n",
    "Существуют и другие методы поиска оптимальных гиперпараметров, один из которых - генетический алгоритм."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import GridSearchCV\n",
    "\n",
    "alpha = np.linspace(0.05, 10, 100)\n",
    "\n",
    "gs = GridSearchCV(linear_model.Lasso(), \n",
    "                    {\"alpha\": alpha}, \n",
    "                    scoring = \"neg_root_mean_squared_error\", \n",
    "                    cv = 3)\n",
    "\n",
    "gs.fit(X_train_male, Y_train_male)\n",
    "\n",
    "\n",
    "plt.plot(alpha, -gs.cv_results_[\"mean_test_score\"])\n",
    "plt.xlabel(r\"$\\alpha$\")\n",
    "plt.ylabel(\"CV score\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(\"Best alpha = {0}\".format(gs.best_params_[\"alpha\"]))"
   ]
  }
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